-
1
-
-
12444289440
-
Evidence-based medicine, heterogeneity of treatment effects, and the trouble with averages
-
DOI 10.1111/j.0887-378X.2004.00327.x
-
Evidence-based medicine, heterogeneity of treatment effects, and the trouble with averages. Kravitz RL, Duan N, Breslow J, Milbank Q 2004 82 661 687 10.1111/j.0887-378X.2004.00327.x 15595946 (Pubitemid 40143102)
-
(2004)
Milbank Quarterly
, vol.82
, Issue.4
, pp. 661-687
-
-
Kravitz, R.L.1
Duan, N.2
Braslow, J.3
-
2
-
-
33947617788
-
Heterogeneity of treatment effects: Implications for guidelines, payment, and quality assessment
-
17720359
-
Heterogeneity of treatment effects: implications for guidelines, payment, and quality assessment. Greenfield S, Kravitz R, Duan N, Kaplan S, Am J Med 2007 120 4A 3 S9 17720359
-
(2007)
Am J Med
, vol.120
, Issue.A4
-
-
Greenfield, S.1
Kravitz, R.2
Duan, N.3
Kaplan, S.4
-
3
-
-
67650763698
-
Dealing with heterogeneity of treatment effects: Is the literature up to the challenge?
-
10.1186/1745-6215-10-43 19545379
-
Dealing with heterogeneity of treatment effects: is the literature up to the challenge? Gabler NB, Duan N, Liao D, et al. Trials 2009 10 43 10.1186/1745-6215-10-43 19545379
-
(2009)
Trials
, vol.10
, pp. 43
-
-
Gabler, N.B.1
Duan, N.2
Liao, D.3
-
4
-
-
0034712491
-
Subgroup analysis and other (mis)uses of baseline data in clinical trials
-
Subgroup analysis and other (mis)uses of baseline data in clinical trials. Assmann SF, Pocock SJ, Enos LE, Kasten LE, Lancet 2000 355 1064 1069 10.1016/S0140-6736(00)02039-0 10744093 (Pubitemid 30162810)
-
(2000)
Lancet
, vol.355
, Issue.9209
, pp. 1064-1069
-
-
Assmann, S.F.1
Pocock, S.J.2
Enos, L.E.3
Kasten, L.E.4
-
5
-
-
0037108235
-
Subgroup analysis, covariate adjustment and baseline comparisons in clinical trial reporting: Current practice and problems
-
10.1002/sim.1296 12325108
-
Subgroup analysis, covariate adjustment and baseline comparisons in clinical trial reporting: current practice and problems. Pocock SJ, Assmann SE, Enos LE, Kasten LE, Stat Med 2002 21 2917 2930 10.1002/sim.1296 12325108
-
(2002)
Stat Med
, vol.21
, pp. 2917-2930
-
-
Pocock, S.J.1
Assmann, S.E.2
Enos, L.E.3
Kasten, L.E.4
-
7
-
-
11844302840
-
Treating individuals 2: Subgroup analysis in randomised controlled trials: Importance, indications, and interpretation
-
DOI 10.1016/S0140-6736(05)17709-5, PII S0140673605177095
-
Treating individuals 2. Subgroup analysis in randomised controlled trials: importance, indications, and interpretation. Rothwell PM, Lancet 2005 365 176 186 10.1016/S0140-6736(05)17709-5 15639301 (Pubitemid 40091809)
-
(2005)
Lancet
, vol.365
, Issue.9454
, pp. 176-186
-
-
Rothwell, P.M.1
-
8
-
-
0036431372
-
Issues related to subgroup analysis in clinical trials
-
DOI 10.1081/BIP-120014565
-
Issues related to subgroup analysis in clinical trials. Cui L, Hung HM, Wang SJ, Tsong Y, J Biopharm Stat 2002 12 347 358 10.1081/BIP-120014565 12448576 (Pubitemid 35332820)
-
(2002)
Journal of Biopharmaceutical Statistics
, vol.12
, Issue.3
, pp. 347-358
-
-
Cui, L.1
Hung, H.M.J.2
Wang, S.J.3
Tsong, Y.4
-
9
-
-
33748647946
-
Moderators of treatment outcomes: Clinical, research, and policy importance
-
DOI 10.1001/jama.296.10.1286
-
Moderators of treatment outcomes: clinical, research, and policy importance. Kraemer HC, Frank E, Kupfer DJ, JAMA 2006 296 10 1286 1289 10.1001/jama.296.10.1286 16968853 (Pubitemid 44394901)
-
(2006)
Journal of the American Medical Association
, vol.296
, Issue.10
, pp. 1286-1289
-
-
Kraemer, H.C.1
Frank, E.2
Kupfer, D.J.3
-
10
-
-
1842453957
-
Subgroup analyses in randomized trials: Risks of subgroup-specific analyses; power and sample size for the interaction test
-
DOI 10.1016/j.jclinepi.2003.08.009, PII S0895435603003329
-
Subgroup analyses in randomized trials: risks of subgroup-specific analyses; power and sample size for the interaction test. Brookes ST, Whitely E, Egger M, et al. J Clin Epidemiol 2004 57 3 229 236 10.1016/j.jclinepi.2003.08. 009 15066682 (Pubitemid 38456874)
-
(2004)
Journal of Clinical Epidemiology
, vol.57
, Issue.3
, pp. 229-236
-
-
Brookes, S.T.1
Whitely, E.2
Egger, M.3
Smith, G.D.4
Mulheran, P.A.5
Peters, T.J.6
-
11
-
-
77955382172
-
Assessing and reporting heterogeneity in treatment effects in clinical trials: A proposal
-
10.1186/1745-6215-11-85 20704705
-
Assessing and reporting heterogeneity in treatment effects in clinical trials: a proposal. Kent DM, Rothwell PM, Ioannidis JP, et al. Trials 2010 11 85 10.1186/1745-6215-11-85 20704705
-
(2010)
Trials
, vol.11
, pp. 85
-
-
Kent, D.M.1
Rothwell, P.M.2
Ioannidis, J.P.3
-
12
-
-
0034466679
-
Debate: Subgroup analyses in clinical trials - Fun to look at, but don't believe them!
-
DOI 10.1186/CVM-1-1-025, 025
-
Subgroup analyses in clinical trials: fun to look at-but don't believe them! Debate SP, Curr Control Trials Cardiovasc Med 2000 1 25 27 10.1186/CVM-1-1-025 11714402 (Pubitemid 32219871)
-
(2000)
Current Controlled Trials in Cardiovascular Medicine
, vol.1
, Issue.1
, pp. 25-27
-
-
Sleight, P.1
-
13
-
-
36348939350
-
Statistics in medicine - Reporting of subgroup analyses in clinical trials
-
DOI 10.1056/NEJMsr077003
-
Statistics in medicine-reporting of subgroup analyses in clinical trials. Wang R, Lagakos SW, Ware JH, et al. N Engl J Med 2007 357 21 2189 2194 10.1056/NEJMsr077003 18032770 (Pubitemid 350146117)
-
(2007)
New England Journal of Medicine
, vol.357
, Issue.21
-
-
Wang, R.1
Lagakos, S.W.2
Ware, J.H.3
Hunter, D.J.4
Drazen, J.M.5
-
14
-
-
41049093347
-
The combination of estimates from different experiments
-
10.2307/3001666
-
The combination of estimates from different experiments. Cochran WG, Biometrics 1954 10 101 129 10.2307/3001666
-
(1954)
Biometrics
, vol.10
, pp. 101-129
-
-
Cochran, W.G.1
-
15
-
-
0037098199
-
Quantifying heterogeneity in a meta-analysis
-
DOI 10.1002/sim.1186
-
Quantifying heterogeneity in a meta-analysis. Higgins JP, Thompson SG, Stat Med 2002 21 1539 1558 10.1002/sim.1186 12111919 (Pubitemid 34746062)
-
(2002)
Statistics in Medicine
, vol.21
, Issue.11
, pp. 1539-1558
-
-
Higgins, J.P.T.1
Thompson, S.G.2
-
16
-
-
38549111463
-
The funnel plot
-
Chichester: Wiley Rothstein HR, Sutton AJ, Borenstein M
-
The funnel plot. Sterne JA, Becker C, B J, Egger M, Publication bias in meta-analysis: prevention, assessment and adjustment Chichester: Wiley, Rothstein HR, Sutton AJ, Borenstein M, 2005 75 98
-
(2005)
Publication Bias in Meta-analysis: Prevention, Assessment and Adjustment
, pp. 75-98
-
-
Sterne, J.A.1
Becker, C.B.J.2
Egger, M.3
-
17
-
-
0033934949
-
Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis
-
Trim and fill: a simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Duval S, Tweedie R, Biometrics 2000 56 455 463 10.1111/j.0006-341X.2000.00455.x 10877304 (Pubitemid 30422636)
-
(2000)
Biometrics
, vol.56
, Issue.2
, pp. 455-463
-
-
Duval, S.1
Tweedie, R.2
-
18
-
-
0442309557
-
A non-parametric «trim and Fill» method of accounting for publication bias in meta-analysis
-
A non-parametric «Trim and Fill» method of accounting for publication bias in meta-analysis. Duval S, Tweedie RL, J Am Statist Ass 2000 95 89 98
-
(2000)
J Am Statist Ass
, vol.95
, pp. 89-98
-
-
Duval, S.1
Tweedie, R.L.2
-
19
-
-
0030922816
-
Bias in meta-analysis detected by a simple, graphical test
-
Bias in meta-analysis detected by a simple, graphical test. Egger M, Smith GD, Schneider M, Minder C, Br Med J 1997 315 629 634 10.1136/bmj.315.7109. 629 (Pubitemid 27387172)
-
(1997)
British Medical Journal
, vol.315
, Issue.7109
, pp. 629-634
-
-
Egger, M.1
Smith, G.D.2
Schneider, M.3
Minder, C.4
-
20
-
-
0028659004
-
Operating characteristics of a rank correlation test for publication bias
-
10.2307/2533446 7786990
-
Operating characteristics of a rank correlation test for publication bias. Begg CB, Mazumdar M, Biometrics 1994 50 1088 1101 10.2307/2533446 7786990
-
(1994)
Biometrics
, vol.50
, pp. 1088-1101
-
-
Begg, C.B.1
Mazumdar, M.2
-
21
-
-
77954812570
-
Assessing publication bias in meta-analyses in the presence of between-study heterogeneity
-
Part 3 10.1111/j.1467-985X.2009.00629.x
-
Assessing publication bias in meta-analyses in the presence of between-study heterogeneity. Peters JL, Sutton AJ, Jones DR, Abrams KR, Rushton L, Moreno SG, J R Statist Soc A 2010 173 575 591 Part 3 10.1111/j.1467-985X. 2009.00629.x
-
(2010)
J R Statist Soc A
, vol.173
, pp. 575-591
-
-
Peters, J.L.1
Sutton, A.J.2
Jones, D.R.3
Abrams, K.R.4
Rushton, L.5
Moreno, S.G.6
-
22
-
-
0031693994
-
An empirical study of the effect of the control rate as a predictor of treatment efficacy in meta-analysis of clinical trials
-
DOI 10.1002/(SICI)1097-0258(19980915)17:17<1923::AID-SIM874>3.0. CO;2-6
-
An empirical study of the effect of the control rate as a predictor of treatment efficacy in meta-analysis of clinical trials. Schmid CH, Lau J, McIntosh MW, Cappelleri JC, Stat Med 1998 17 1923 1942 10.1002/(SICI)1097- 0258(19980915)17:17<1923::AID-SIM874>3.0.CO;2-6 9777687 (Pubitemid 28425258)
-
(1998)
Statistics in Medicine
, vol.17
, Issue.17
, pp. 1923-1942
-
-
Schmid, C.H.1
Lau, J.2
Mcintosh, M.W.3
Cappelleri, J.C.4
-
23
-
-
0022992740
-
Meta-analysis in clinical trials
-
DOI 10.1016/0197-2456(86)90046-2
-
Meta-analysis in clinical trials. DerSimonian R, Laird N, Control Clin Trials 1986 7 177 188 10.1016/0197-2456(86)90046-2 3802833 (Pubitemid 17189972)
-
(1986)
Controlled Clinical Trials
, vol.7
, Issue.3
, pp. 177-188
-
-
DerSimonian, R.1
Laird, N.2
-
24
-
-
70349235819
-
Understanding heterogeneity in meta-analysis: The role of meta-regression
-
10.1111/j.1742-1241.2009.02168.x 19769699
-
Understanding heterogeneity in meta-analysis: the role of meta-regression. Baker WL, White CM, Cappelleri JC, et al. Int J Clin Pract 2009 63 1426 1434 10.1111/j.1742-1241.2009.02168.x 19769699
-
(2009)
Int J Clin Pract
, vol.63
, pp. 1426-1434
-
-
Baker, W.L.1
White, C.M.2
Cappelleri, J.C.3
-
25
-
-
79960563357
-
A comprehensive review of predictive and prognostic composite factors implicated in the heterogeneity of treatment response and outcome across disease areas
-
10.1111/j.1742-1241.2011.02703.x
-
A comprehensive review of predictive and prognostic composite factors implicated in the heterogeneity of treatment response and outcome across disease areas. Alatorre CI, Carter GC, Chen C, et al. Int J Clinn Pract 2011 65 831 847 10.1111/j.1742-1241.2011.02703.x
-
(2011)
Int J Clinn Pract
, vol.65
, pp. 831-847
-
-
Alatorre, C.I.1
Carter, G.C.2
Chen, C.3
-
26
-
-
0033980090
-
Primary and subsequent coronary risk appraisal: New results from The Framingham Study
-
Primary and subsequent coronary risk appraisal: new results from the Framingham study. D'Agostino RB, Russell MW, Huse DM, et al. Am Heart J 2000 139 2 Pt 1 272 281 10650300 (Pubitemid 30090804)
-
(2000)
American Heart Journal
, vol.139
, Issue.I2
, pp. 272-281
-
-
D'Agostino, R.B.1
Russell, M.W.2
Huse, D.M.3
Ellison, R.C.4
Silbershatz, H.5
Wilson, P.W.F.6
Hartz, S.C.7
-
27
-
-
58749094444
-
Cytochrome p-450 polymorphisms and response to clopidogrel
-
10.1056/NEJMoa0809171 19106084
-
Cytochrome p-450 polymorphisms and response to clopidogrel. Mega JL, Close SL, Wiviott SD, N Engl J Med 2009 360 354 362 10.1056/NEJMoa0809171 19106084
-
(2009)
N Engl J Med
, vol.360
, pp. 354-362
-
-
Mega, J.L.1
Close, S.L.2
Wiviott, S.D.3
-
28
-
-
0000818474
-
Continuum regression: Cross-validated sequentially constructed prediction, embracing ordinary least squares, partial least squares and principal components regression (with discussion)
-
Continuum regression: cross-validated sequentially constructed prediction, embracing ordinary least squares, partial least squares and principal components regression (with discussion). Stone M, Brooks JR, J R Statist Soc B 1990 52 237 269
-
(1990)
J R Statist Soc B
, vol.52
, pp. 237-269
-
-
Stone, M.1
Brooks, J.R.2
-
29
-
-
0041382385
-
-
University of California-Berkeley: Working paper
-
Breiman L, Random forests University of California-Berkeley: Working paper 1999
-
(1999)
Random Forests
-
-
Breiman, L.1
-
31
-
-
34548675333
-
Support vector machines for classification
-
New Brunswick: Department of Computer Science, Rutgers, The State University of New Jersey Abello J, Carmode G 23220784
-
Support vector machines for classification. Fradkin D, Muchnik I, Discrete methods in epidemiology", DIMACS series in discrete mathematics and theoretical computer science, volume 70 New Brunswick: Department of Computer Science, Rutgers, The State University of New Jersey, Abello J, Carmode G, 2006 13 20 23220784
-
(2006)
Discrete Methods in Epidemiology", DIMACS Series in Discrete Mathematics and Theoretical Computer Science, Volume 70
, pp. 13-20
-
-
Fradkin, D.1
Muchnik, I.2
-
33
-
-
0032401967
-
Heterogeneity of the baseline risk within patient populations of clinical trials: A proposed evaluation algorithm
-
Heterogeneity of the baseline risk within patient populations of clinical trials: a proposed evaluation algorithm. Ioannidis JP, Lau J, Am J Epidemiol 1998 148 1117 1126 10.1093/oxfordjournals.aje.a009590 9850135 (Pubitemid 28562172)
-
(1998)
American Journal of Epidemiology
, vol.148
, Issue.11
, pp. 1117-1126
-
-
Ioannidis, J.P.A.1
Lau, J.2
-
34
-
-
79951613307
-
Evaluation of treatment-effect heterogeneity using biomarkers measured on a continuous scale: Subpopulation treatment effect pattern plot
-
10.1200/JCO.2009.27.9182 20837942
-
Evaluation of treatment-effect heterogeneity using biomarkers measured on a continuous scale: subpopulation treatment effect pattern plot. Lazar AA, Cole BF, Bonetti M, Gelber RD, J Clin Oncol 2010 28 4539 44 10.1200/JCO.2009.27.9182 20837942
-
(2010)
J Clin Oncol
, vol.28
, pp. 4539-4544
-
-
Lazar, A.A.1
Cole, B.F.2
Bonetti, M.3
Gelber, R.D.4
-
35
-
-
77956546773
-
There's a reason they call them dummy variables: A note on the use of structural equation techniques in comparative effectiveness research
-
10.2165/11537750-000000000-00000
-
There's a reason they call them dummy variables: a note on the use of structural equation techniques in comparative effectiveness research. Crown WH, Pharmaco Economics 2010 28 947 955 10.2165/11537750-000000000-00000
-
(2010)
Pharmaco Economics
, vol.28
, pp. 947-955
-
-
Crown, W.H.1
-
36
-
-
0035227182
-
Classification methods for confronting heterogeneity
-
Classification methods for confronting heterogeneity. Province MA, Shannon WD, Rao DC, Adv Genet 2001 4 2 273 286
-
(2001)
Adv Genet
, vol.4
, Issue.2
, pp. 273-286
-
-
Province, M.A.1
Shannon, W.D.2
Rao, D.C.3
-
39
-
-
3042639532
-
An introduction to latent growth curve modeling
-
DOI 10.1016/S0005-7894(04)80042-X
-
An introduction to latent growth curve modeling. Duncan TE, Duncan SC, Behav Ther 2004 35 333 363 10.1016/S0005-7894(04)80042-X (Pubitemid 38821737)
-
(2004)
Behavior Therapy
, vol.35
, Issue.2
, pp. 333-363
-
-
Duncan, T.E.1
Duncan, S.C.2
-
40
-
-
37749002284
-
Analyzing growth and change: Latent variable growth curve modeling with an application to clinical trials
-
10.1007/s11136-007-9290-5 18080215
-
Analyzing growth and change: latent variable growth curve modeling with an application to clinical trials. Stull DE, Qual Life Res 2008 17 47 59 10.1007/s11136-007-9290-5 18080215
-
(2008)
Qual Life Res
, vol.17
, pp. 47-59
-
-
Stull, D.E.1
-
41
-
-
0001557972
-
The conceptualization and analysis of change over time: An integrative approach incorporating longitudinal mean and covariance structures analysis (LMACS) and multiple indicator latent growth modeling (MLGM)
-
The conceptualization and analysis of change over time: an integrative approach incorporating longitudinal mean and covariance structures analysis (LMACS) and multiple indicator latent growth modeling (MLGM). Chan D, Organ Res Methods 1998 1 421 483 10.1177/109442819814004 (Pubitemid 128543459)
-
(1998)
Organizational Research Methods
, vol.1
, Issue.4
, pp. 421-483
-
-
Chan, D.1
-
42
-
-
0842285954
-
Have Multilevel Models Been Structural Equation Models All Along?
-
Have multilevel models been structural equation models all along? Curran P, Multivar Behav Res 2003 38 529 569 10.1207/s15327906mbr3804-5 (Pubitemid 38178182)
-
(2003)
Multivariate Behavioral Research
, vol.38
, Issue.4
, pp. 529-569
-
-
Curran, P.J.1
-
43
-
-
34548536809
-
Growth mixture modeling: Identifying and predicting unobserved subpopulations with longitudinal data
-
10.1177/1094428106289397
-
Growth mixture modeling: identifying and predicting unobserved subpopulations with longitudinal data. Wang M, Bodner TE, Organ Res Methods 2007 10 635 656 10.1177/1094428106289397
-
(2007)
Organ Res Methods
, vol.10
, pp. 635-656
-
-
Wang, M.1
Bodner, T.E.2
-
44
-
-
80053383559
-
Application of latent growth and growth mixture modeling to identify and characterize differential responders to treatment for COPD
-
10.1016/j.cct.2011.06.004 21762787
-
Application of latent growth and growth mixture modeling to identify and characterize differential responders to treatment for COPD. Stull DE, Wiklund I, Gale R, et al. Contemp Clin Trials 2011 32 6 818 828 10.1016/j.cct.2011.06.004 21762787
-
(2011)
Contemp Clin Trials
, vol.32
, Issue.6
, pp. 818-828
-
-
Stull, D.E.1
Wiklund, I.2
Gale, R.3
-
45
-
-
17444413035
-
Investigating population heterogeneity with factor mixture models
-
DOI 10.1037/1082-989X.10.1.21
-
Investigating population heterogeneity with factor mixture models. Lubke GH, Muthén B, Psychol Methods 2005 10 1 21 39 15810867 (Pubitemid 40551477)
-
(2005)
Psychological Methods
, vol.10
, Issue.1
, pp. 21-39
-
-
Lubke, G.H.1
Muthen, B.2
-
46
-
-
65949121222
-
An introduction to latent class growth analysis and growth mixture modeling
-
10.1111/j.1751-9004.2007.00054.x
-
An introduction to latent class growth analysis and growth mixture modeling. Jung T, Wickrama KA, Social and Personality Psychology Compass 2008 2 302 317 10.1111/j.1751-9004.2007.00054.x
-
(2008)
Social and Personality Psychology Compass
, vol.2
, pp. 302-317
-
-
Jung, T.1
Wickrama, K.A.2
-
47
-
-
0023718555
-
A clinician's guide for conducting randomized trials in individual patients
-
3409138
-
A clinician's guide for conducting randomized trials in individual patients. Guyatt G, Sackett D, Adachi J, et al. CMAJ 1988 139 497 503 3409138
-
(1988)
CMAJ
, vol.139
, pp. 497-503
-
-
Guyatt, G.1
Sackett, D.2
Adachi, J.3
-
48
-
-
0025164841
-
The n-of-1 randomized controlled trial: Clinical usefulness. Our three-year experience
-
The n-of-1 randomized controlled trial: clinical usefulness. Our three-year experience. Guyatt GH, Keller JL, Jaeschke R, et al. Ann Intern Med 1990 112 293 299 2297206 (Pubitemid 20055354)
-
(1990)
Annals of Internal Medicine
, vol.112
, Issue.4
, pp. 293-299
-
-
Guyatt, G.H.1
Keller, J.L.2
Jaeschke, R.3
Rosenbloom, D.4
Adachi, J.D.5
Newhouse, M.T.6
-
49
-
-
0025826593
-
Controlled trials in single subjects. 2. Limitations of use
-
10.1136/bmj.303.6795.175 1878647
-
Controlled trials in single subjects. 2. Limitations of use. Lewis JA, BMJ 1991 303 175 176 10.1136/bmj.303.6795.175 1878647
-
(1991)
BMJ
, vol.303
, pp. 175-176
-
-
Lewis, J.A.1
-
50
-
-
0030913882
-
Combining single patient (N-of-1) trials to estimate population treatment effects and to evaluate individual patient responses to treatment
-
DOI 10.1016/S0895-4356(96)00429-5, PII S0895435696004295
-
Combining single patient (N-of-1) trials to estimate population treatment effects and to evaluate individual patient responses to treatment. Zucker DR, Schmid CH, McIntosh MW, et al. J Clin Epidemiol 1997 50 401 410 10.1016/S0895-4356(96)00429-5 9179098 (Pubitemid 27223269)
-
(1997)
Journal of Clinical Epidemiology
, vol.50
, Issue.4
, pp. 401-410
-
-
Zucker, D.R.1
Schmid, C.H.2
McIntosh, M.W.3
D'Agostino, R.B.4
Selker, H.P.5
Lau, J.6
-
51
-
-
0035142245
-
Economic evaluation alongside N-of-1 trials: Getting closer to the margin
-
10.1002/1099-1050(200101)10:1<79: AID-HEC567>3.0.CO;2-Z 11180571
-
Economic evaluation alongside N-of-1 trials: getting closer to the margin. Karnon J, Qizlibash N, Health Econ 2001 10 79 82 10.1002/1099- 1050(200101)10:1<79::AID-HEC567>3.0.CO;2-Z 11180571
-
(2001)
Health Econ
, vol.10
, pp. 79-82
-
-
Karnon, J.1
Qizlibash, N.2
-
52
-
-
38549098970
-
ARE N-of-1 trials an economically viable option to improve access to selected high cost medications? The Australian experience
-
DOI 10.1111/j.1524-4733.2007.00218.x
-
Are N-of-1 trials an economically viable option to improve access to selected high cost medications? The Australian experience. Scuffham PA, Dip BA, Yelland MB, et al. Value Health 2008 11 97 109 10.1111/j.1524-4733.2007.00218.x 18237364 (Pubitemid 351160880)
-
(2008)
Value in Health
, vol.11
, Issue.1
, pp. 97-109
-
-
Scuffham, P.A.1
Yelland, M.J.2
Nikles, J.3
Pietrzak, E.4
Wilkinson, D.5
-
53
-
-
50049103377
-
Heterogeneous impacts in PROGRESA
-
Heterogeneous impacts in PROGRESA. Djebbari H, Smith JA, J Econ 2008 145 64 80
-
(2008)
J Econ
, vol.145
, pp. 64-80
-
-
Djebbari, H.1
Smith, J.A.2
-
54
-
-
42649119436
-
What did medicare do? the initial impact of medicare on mortality and out of pocket medical spending
-
10.1016/j.jpubeco.2007.10.005
-
What did medicare do? the initial impact of medicare on mortality and out of pocket medical spending. Finkelstein A, McKnight R, J Public Econ 2008 92 1644 1668 10.1016/j.jpubeco.2007.10.005
-
(2008)
J Public Econ
, vol.92
, pp. 1644-1668
-
-
Finkelstein, A.1
McKnight, R.2
-
55
-
-
33847276127
-
Mercury advisories: Information, education, and fish consumption
-
DOI 10.1016/j.jeem.2006.10.002, PII S0095069606000957
-
Mercury advisories: information, education, and fish consumption. Shimshack JP, Ward MB, Beatty TKM, J Environ Econ Manag 2007 53 158 179 10.1016/j.jeem.2006.10.002 (Pubitemid 46330502)
-
(2007)
Journal of Environmental Economics and Management
, vol.53
, Issue.2
, pp. 158-179
-
-
Shimshack, J.P.1
Ward, M.B.2
Beatty, T.K.M.3
-
56
-
-
33846696017
-
What mean impacts miss: Distributional effects of welfare reform experiments
-
10.1257/aer.96.4.988
-
What mean impacts miss: distributional effects of welfare reform experiments. Bitler MP, Gelbach JB, Hoynes HW, Am Econ Rev 2006 96 988 1012 10.1257/aer.96.4.988
-
(2006)
Am Econ Rev
, vol.96
, pp. 988-1012
-
-
Bitler, M.P.1
Gelbach, J.B.2
Hoynes, H.W.3
-
57
-
-
59749084724
-
Accelerated failure time models provide a useful statistical framework for aging research
-
10.1016/j.exger.2008.10.005 19007875
-
Accelerated failure time models provide a useful statistical framework for aging research. Swindell WR, Exp Gerontol 2009 44 3 190 200 10.1016/j.exger.2008.10.005 19007875
-
(2009)
Exp Gerontol
, vol.44
, Issue.3
, pp. 190-200
-
-
Swindell, W.R.1
-
59
-
-
84872685752
-
-
Available from: http://www.nber.org/papers/t0324 [Accessed February 12, 2012]
-
Crump RK, Hotz VJ, Imbens GW, Mitnik OA, Nonparametric tests for treatment effect heterogeneity. National bureau of economic research technical working paper 324 Available from: http://www.nber.org/papers/t0324 [Accessed February 12, 2012]
-
Nonparametric Tests for Treatment Effect Heterogeneity. National Bureau of Economic Research Technical Working Paper 324
-
-
Crump, R.K.1
Hotz, V.J.2
Imbens, G.W.3
Mitnik, O.A.4
-
60
-
-
58149333659
-
Non-parametric tests for distributional treatment effect for randomly censored responses
-
10.1111/j.1467-9868.2008.00683.x
-
Non-parametric tests for distributional treatment effect for randomly censored responses. Lee M, J R Statist Soc B 2009 71 243 264 10.1111/j.1467-9868.2008.00683.x
-
(2009)
J R Statist Soc B
, vol.71
, pp. 243-264
-
-
Lee, M.1
-
61
-
-
33750473774
-
Non-parametric regression for binary dependent variables
-
DOI 10.1111/j.1368-423X.2006.00196.x
-
Non-parametric regression for binary dependent variables. Frölich M, Econ J 2006 9 511 540 (Pubitemid 44651007)
-
(2006)
Econometrics Journal
, vol.9
, Issue.3
, pp. 511-540
-
-
Frolich, M.1
|