-
1
-
-
0003505146
-
-
London: John Wiley
-
Sutton AJ, Abrams KR, Jones DR, Sheldon TA, Song F, Methods for Meta-Analysis in Medical Research London: John Wiley 2000
-
(2000)
Methods for Meta-Analysis in Medical Research
-
-
Sutton, A.J.1
Abrams, K.R.2
Jones, D.R.3
Sheldon, T.A.4
Song, F.5
-
2
-
-
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
-
3
-
-
0037098178
-
How should meta-regression analyses be undertaken and interpreted?
-
DOI 10.1002/sim.1187
-
How should meta-regression analyses be undertaken and interpreted? Thompson SG, Higgins JPT, Stat Med 2002 21 11 1559 1573 10.1002/sim.1187 12111920 (Pubitemid 34746063)
-
(2002)
Statistics in Medicine
, vol.21
, Issue.11
, pp. 1559-1573
-
-
Thompson, S.G.1
Higgins, J.P.T.2
-
4
-
-
0032583387
-
Extracting summary statistics to perform meta-analyses of the published literature for survival endpoints
-
DOI 10.1002/(SICI)1097-0258 (19981230)17:24<2815:: AID-SIM110>3.0.CO;2-8
-
Extracting summary statistics to perform meta-analyses of the published literature for survival endpoints. Parmar MK, Torri V, Stewart L, Stat Med 1998 17 24 2815 2834 10.1002/(SICI)1097-0258(19981230)17:24<2815::AID-SIM110>3. 0.CO;2-8 9921604 (Pubitemid 28562978)
-
(1998)
Statistics in Medicine
, vol.17
, Issue.24
, pp. 2815-2834
-
-
Parmar, M.K.B.1
Torri, V.2
Stewart, L.3
-
5
-
-
0038485778
-
Reporting of prognostic markers: Current problems and development of guidelines for evidence-based practice in the future
-
DOI 10.1038/sj.bjc.6600886
-
Reporting of prognostic markers: current problems and development of guidelines for evidence-based practice in the future. Riley RD, Abrams KR, Sutton AJ, Lambert PC, Jones DR, Heney D, Burchill SA, Br J Cancer 2003 88 8 1191 1198 10.1038/sj.bjc.6600886 12698183 (Pubitemid 36606332)
-
(2003)
British Journal of Cancer
, vol.88
, Issue.8
, pp. 1191-1198
-
-
Riley, R.D.1
Abrams, K.R.2
Sutton, A.J.3
Lambert, P.C.4
Jones, D.R.5
Heney, D.6
Burchill, S.A.7
-
6
-
-
21344439360
-
Meta-analysis of individual patient data from randomized trials: A review of methods used in practice
-
DOI 10.1191/1740774505cn087oa
-
Meta-analysis of individual patient data from randomized trials: a review of methods used in practice. Simmonds MC, Higgins JPT, Stewart LA, Tierney JF, Clarke MJ, Thompson SG, Clin Trials 2005 2 3 209 217 10.1191/1740774505cn087oa 16279144 (Pubitemid 40910470)
-
(2005)
Clinical Trials
, vol.2
, Issue.3
, pp. 209-217
-
-
Simmonds, M.C.1
Higgins, J.P.T.2
Stewart, L.A.3
Tierney, J.F.4
Clarke, M.J.5
Thompson, S.G.6
-
7
-
-
0028630783
-
Iterative generalized least squares for meta-analysis of survival data at multiple times
-
10.2307/2533438 7787011
-
Iterative generalized least squares for meta-analysis of survival data at multiple times. Dear KB, Biometrics 1994 50 4 989 1002 10.2307/2533438 7787011
-
(1994)
Biometrics
, vol.50
, Issue.4
, pp. 989-1002
-
-
Dear, K.B.1
-
8
-
-
53349095778
-
Meta-analysis of summary survival curve data
-
10.1002/sim.3311 18465839
-
Meta-analysis of summary survival curve data. Arends LR, Hunink MGM, Stijnen T, Stat Med 2008 27 22 4381 4396 10.1002/sim.3311 18465839
-
(2008)
Stat Med
, vol.27
, Issue.22
, pp. 4381-4396
-
-
Arends, L.R.1
Hunink, M.G.M.2
Stijnen, T.3
-
9
-
-
73449097833
-
Meta-analysis of pairs of survival curves under heterogeneity: A Poisson correlated gamma-frailty approach
-
10.1002/sim.3752 19899066
-
Meta-analysis of pairs of survival curves under heterogeneity: a Poisson correlated gamma-frailty approach. Fiocco M, Putter H, van Houwelingen JC, Stat Med 2009 28 30 3782 3797 10.1002/sim.3752 19899066
-
(2009)
Stat Med
, vol.28
, Issue.30
, pp. 3782-3797
-
-
Fiocco, M.1
Putter, H.2
Van Houwelingen, J.C.3
-
10
-
-
24644494782
-
Frailty survival model analysis of the national deceased donor kidney transplant dataset using poisson variance structures
-
DOI 10.1198/016214505000000123
-
Frailty Survival Model Analysis of the National Deceased Donor Kidney Transplant Dataset Using Poisson Variance Structures. Feng S, Wolfe RA, Port FK, J Am Stat Assoc 2005 100 471 728 735 http://www.jstor.org/stable/27590610 10.1198/016214505000000123 (Pubitemid 41276324)
-
(2005)
Journal of the American Statistical Association
, vol.100
, Issue.471
, pp. 728-735
-
-
Feng, S.1
Wolfe, R.A.2
Port, F.K.3
-
11
-
-
0037202566
-
Aggregate data meta-analysis with time-to-event outcomes
-
DOI 10.1002/sim.1303
-
Aggregate data meta-analysis with time-to-event outcomes. Williamson PR, Smith CT, Hutton JL, Marson AG, Stat Med 2002 21 22 3337 3351 10.1002/sim.1303 12407676 (Pubitemid 35314654)
-
(2002)
Statistics in Medicine
, vol.21
, Issue.22
, pp. 3337-3351
-
-
Williamson, P.R.1
Smith, C.T.2
Hutton, J.L.3
Marson, A.G.4
-
12
-
-
0034123425
-
The many modes of meta
-
The Many Modes of Meta. Senn S, Drug Inf J 2000 34 2 535 549 http://dij.sagepub.com/content/34/2/535.abstract 10.1177/009286150003400222 (Pubitemid 30351006)
-
(2000)
Drug Information Journal
, vol.34
, Issue.2
, pp. 535-549
-
-
Senn, S.1
-
13
-
-
0033566769
-
International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use. Statistical principles for clinical trials
-
10532877
-
International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use. Statistical principles for clinical trials. Stat Med 1999 18 1905 1942 10532877
-
(1999)
Stat Med
, vol.18
, pp. 1905-1942
-
-
-
14
-
-
31044450241
-
A Bayesian approach to jointly estimate centre and treatment by centre heterogeneity in a proportional hazards model
-
DOI 10.1002/sim.2475
-
A Bayesian approach to jointly estimate centre and treatment by centre heterogeneity in a proportional hazards model. Legrand C, Ducrocq V, Janssen P, Sylvester R, Duchateau L, Stat Med 2005 24 24 3789 3804 10.1002/sim.2475 16320274 (Pubitemid 43118218)
-
(2005)
Statistics in Medicine
, vol.24
, Issue.24
, pp. 3789-3804
-
-
Legrand, C.1
Ducrocq, V.2
Janssen, P.3
Sylvester, R.4
Duchateau, L.5
-
15
-
-
78649677374
-
One-stage parametric meta-analysis of time-to-event outcomes
-
10.1002/sim.4086 20963770
-
One-stage parametric meta-analysis of time-to-event outcomes. Siannis F, Barrett JK, Farewell VT, Tierney JF, Stat Med 2010 29 29 3030 3045 10.1002/sim.4086 20963770
-
(2010)
Stat Med
, vol.29
, Issue.29
, pp. 3030-3045
-
-
Siannis, F.1
Barrett, J.K.2
Farewell, V.T.3
Tierney, J.F.4
-
16
-
-
0017145679
-
Life Tables with Concomitant Information
-
10.2307/2529747 963172
-
Life Tables with Concomitant Information. Holford TR, Biometrics 1976 32 3 587 597 10.2307/2529747 963172
-
(1976)
Biometrics
, vol.32
, Issue.3
, pp. 587-597
-
-
Holford, T.R.1
-
17
-
-
0000320904
-
Fitting Cox's regression model to survival data using GLIM
-
10.2307/2346901
-
Fitting Cox's regression model to survival data using GLIM. Whitehead J, Appl Stat 1980 29 268 275 10.2307/2346901
-
(1980)
Appl Stat
, vol.29
, pp. 268-275
-
-
Whitehead, J.1
-
18
-
-
77949379900
-
Who needs the Cox model anyway?
-
Steno Diabetes Center, Denmark
-
Who needs the Cox model anyway? Carstensen B, Tech rep Steno Diabetes Center, Denmark 2004
-
(2004)
Tech Rep
-
-
Carstensen, B.1
-
19
-
-
30944440022
-
Additive and multiplicative covariate regression models for relative survival incorporating fractional polynomials for time-dependent effects
-
DOI 10.1002/sim.2399
-
Additive and multiplicative covariate regression models for relative survival incorporating fractional polynomials for time-dependent effects. Lambert PC, Smith LK, Jones DR, Botha JL, Stat Med 2005 24 24 3871 3885 10.1002/sim.2399 16320260 (Pubitemid 43115736)
-
(2005)
Statistics in Medicine
, vol.24
, Issue.24
, pp. 3871-3885
-
-
Lambert, P.C.1
Smith, L.K.2
Jones, D.R.3
Botha, J.L.4
-
21
-
-
0000336139
-
Regression Models and Life-Tables
-
Regression Models and Life-Tables. Cox DR, J R Stat Soc B Methodol 1972 34 2 187 220
-
(1972)
J R Stat Soc B Methodol
, vol.34
, Issue.2
, pp. 187-220
-
-
Cox, D.R.1
-
23
-
-
79955544813
-
Interpretation of random effects meta-analyses
-
10.1136/bmj.d549 21310794
-
Interpretation of random effects meta-analyses. Riley RD, Higgins JPT, Deeks JJ, British Medical Journal 2011 342 549 10.1136/bmj.d549 21310794
-
(2011)
British Medical Journal
, vol.342
, pp. 4549
-
-
Riley, R.D.1
Higgins, J.P.T.2
Deeks, J.J.3
-
24
-
-
17844371350
-
Investigating heterogeneity in an individual patient data meta-analysis of time to event outcomes
-
DOI 10.1002/sim.2050
-
Investigating heterogeneity in an individual patient data meta-analysis of time to event outcomes. Tudur-Smith C, Williamson PR, Marson AG, Stat Med 2005 24 9 1307 1319 10.1002/sim.2050 15685717 (Pubitemid 40585170)
-
(2005)
Statistics in Medicine
, vol.24
, Issue.9
, pp. 1307-1319
-
-
Tudur Smith, C.1
Williamson, P.R.2
Marson, A.G.3
-
25
-
-
0033566653
-
Investigating centre effects in a multi-centre clinical trial of superficial bladder cancer
-
DOI 10.1002/(SICI)1097-0258 (19990815)18:15 <1961::AID-SIM170>3.0. CO;2-3
-
Investigating centre effects in a multi-centre clinical trial of superficial bladder cancer. Yamaguchi T, Ohashi Y, Stat Med 1999 18 15 1961 1971 10.1002/(SICI)1097-0258(19990815)18:15<1961::AID-SIM170>3.0.CO;2-3 10440879 (Pubitemid 29389377)
-
(1999)
Statistics in Medicine
, vol.18
, Issue.15
, pp. 1961-1971
-
-
Yamaguchi, T.1
Ohashi, Y.2
-
26
-
-
0034736559
-
A multilevel model framework for meta-analysis of clinical trials with binary outcomes
-
A multilevel model framework for meta-analysis of clinical trials with binary outcomes. Turner RM, Omar RZ, Yang M, Goldstein H, Thompson SG, Stat Med 2000 19 24 3417 3432 10.1002/1097-0258(20001230)19:24<3417::AID-SIM614>3. 0.CO;2-L 11122505 (Pubitemid 32056694)
-
(2000)
Statistics in Medicine
, vol.19
, Issue.24
, pp. 3417-3432
-
-
Turner, R.M.1
Omar, R.Z.2
Yang, M.3
Goldstein, H.4
Thompson, S.G.5
-
29
-
-
19944372078
-
Generating survival times to simulate Cox proportional hazards models
-
DOI 10.1002/sim.2059
-
Generating survival times to simulate Cox proportional hazards models. Bender R, Augustin T, Blettner M, Stat Med 2005 24 11 1713 1723 10.1002/sim.2059 15724232 (Pubitemid 40754090)
-
(2005)
Statistics in Medicine
, vol.24
, Issue.11
, pp. 1713-1723
-
-
Bender, R.1
Augustin, T.2
Blettner, M.3
-
31
-
-
0037083255
-
Individual patient- versus group-level data meta-regressions for the investigation of treatment effect modifiers: Ecological bias rears its ugly head
-
DOI 10.1002/sim.1023
-
Individual patient- versus group-level data meta-regressions for the investigation of treatment effect modifiers: ecological bias rears its ugly head. Berlin JA, Santanna J, Schmid CH, Szczech LA, Feldman HI, Stat Med 2002 21 3 371 387 10.1002/sim.1023 11813224 (Pubitemid 34144648)
-
(2002)
Statistics in Medicine
, vol.21
, Issue.3
, pp. 371-387
-
-
Berlin, J.A.1
Santanna, J.2
Schmid, C.H.3
Szczech, L.A.4
Feldman, H.I.5
-
32
-
-
0036139582
-
A comparison of summary patient-level covariates in meta-regression with individual patient data meta-analysis
-
DOI 10.1016/S0895-4356(01)00414-0, PII S0895435601004140
-
A comparison of summary patient-level covariates in meta-regression with individual patient data meta-analysis. Lambert PC, Sutton AJ, Abrams KR, Jones DR, J Clin Epidemiol 2002 55 86 94 10.1016/S0895-4356(01)00414-0 11781126 (Pubitemid 34037039)
-
(2002)
Journal of Clinical Epidemiology
, vol.55
, Issue.1
, pp. 86-94
-
-
Lambert, P.C.1
Sutton, A.J.2
Abrams, K.R.3
Jones, D.R.4
-
33
-
-
43049159457
-
Meta-analysis of continuous outcomes combining individual patient data and aggregate data
-
DOI 10.1002/sim.3165
-
Meta-analysis of continuous outcomes combining individual patient data and aggregate data. Riley RD, Lambert PC, Staessen JA, Wang J, Gueyffier F, Thijs L, Boutitie F, Stat Med 2008 27 11 1870 1893 10.1002/sim.3165 18069721 (Pubitemid 351634244)
-
(2008)
Statistics in Medicine
, vol.27
, Issue.11
, pp. 1870-1893
-
-
Riley, R.D.1
Lambert, P.C.2
Staessen, J.A.3
Wang, J.4
Gueyffier, F.5
Thijs, L.6
Boutitie, F.7
-
34
-
-
78149266539
-
Meta-analysis of a binary outcome using individual participant data and aggregate data
-
10.1002/jrsm.4
-
Meta-analysis of a binary outcome using individual participant data and aggregate data. Riley RD, Steyerberg EW, Res Synth Methods 2010 1 2 19 10.1002/jrsm.4
-
(2010)
Res Synth Methods
, vol.1
, pp. 2-19
-
-
Riley, R.D.1
Steyerberg, E.W.2
-
35
-
-
0003000728
-
Regression Models and Non-Proportional Hazards in the Analysis of Breast Cancer Survival
-
Regression Models and Non-Proportional Hazards in the Analysis of Breast Cancer Survival. Gore SM, Pocock SJ, Kerr GR, J R Stat Soc C Appl Stat 1984 33 2 176 195
-
(1984)
J R Stat Soc C Appl Stat
, vol.33
, Issue.2
, pp. 176-195
-
-
Gore, S.M.1
Pocock, S.J.2
Kerr, G.R.3
-
36
-
-
18244368464
-
Systolic and diastolic blood pressure lowering as determinants of cardiovascular outcome
-
DOI 10.1161/01.HYP.0000165020.14745.79
-
Systolic and diastolic blood pressure lowering as determinants of cardiovascular outcome. Wang J, Staessen JA, Franklin SS, Fagard R, Gueyffier F, Hypertension 2005 45 5 907 913 10.1161/01.HYP.0000165020.14745.79 15837826 (Pubitemid 40628936)
-
(2005)
Hypertension
, vol.45
, Issue.5
, pp. 907-913
-
-
Wang, J.-G.1
Staessen, J.A.2
Franklin, S.S.3
Fagard, R.4
Gueyffier, F.5
-
37
-
-
0006407254
-
WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility
-
10.1023/A:1008929526011
-
WinBUGS-a Bayesian modelling framework: concepts, structure, and extensibility. Lunn DJ, Thomas A, Best N, Spiegelhalter D, Stat Comput 2000 10 325 337 10.1023/A:1008929526011
-
(2000)
Stat Comput
, vol.10
, pp. 325-337
-
-
Lunn, D.J.1
Thomas, A.2
Best, N.3
Spiegelhalter, D.4
-
38
-
-
0033524123
-
Calculating the number needed to treat for trials where the outcome is time to an event
-
10.1136/bmj.319.7223.1492 10582940
-
Calculating the number needed to treat for trials where the outcome is time to an event. Altman DG, Andersen PK, BMJ 1999 319 7223 1492 1495 10.1136/bmj.319.7223.1492 10582940
-
(1999)
BMJ
, vol.319
, Issue.7223
, pp. 1492-1495
-
-
Altman, D.G.1
Andersen, P.K.2
-
39
-
-
23244434820
-
How vague is vague? A simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGS
-
DOI 10.1002/sim.2112
-
How vague is vague? A simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGS. Lambert PC, Sutton AJ, Burton PR, Abrams KR, Jones DR, Stat Med 2005 24 15 2401 2428 10.1002/sim.2112 16015676 (Pubitemid 41093922)
-
(2005)
Statistics in Medicine
, vol.24
, Issue.15
, pp. 2401-2428
-
-
Lambert, P.C.1
Sutton, A.J.2
Burton, P.R.3
Abrams, K.R.4
Jones, D.R.5
-
40
-
-
0000312997
-
Hierarchical Generalized Linear Models
-
http://www.jstor.org/stable/2346105
-
Hierarchical Generalized Linear Models. Lee Y, Nelder JA, J R Stat Soc B Methodol 1996 58 4 619 678 http://www.jstor.org/stable/2346105
-
(1996)
J R Stat Soc B Methodol
, vol.58
, Issue.4
, pp. 619-678
-
-
Lee, Y.1
Nelder, J.A.2
-
41
-
-
13844296849
-
Random effects survival models gave a better understanding of heterogeneity in individual patient data meta-analyses
-
DOI 10.1016/j.jclinepi.2004.08.013
-
Random effects survival models gave a better understanding of heterogeneity in individual patient data meta-analyses. Michiels S, Baujat B, Mah C, Sargent DJ, Pignon JP, J Clin Epidemiol 2005 58 3 238 245 10.1016/j.jclinepi.2004.08.013 15718112 (Pubitemid 40249465)
-
(2005)
Journal of Clinical Epidemiology
, vol.58
, Issue.3
, pp. 238-245
-
-
Michiels, S.1
Baujat, B.2
Mahe, C.3
Sargent, D.J.4
Pignon, J.P.5
-
42
-
-
42949128576
-
Investigating trial and treatment heterogeneity in an individual patient data meta-analysis of survival data by means of the penalized maximum likelihood approach
-
DOI 10.1002/sim.3161
-
Investigating trial and treatment heterogeneity in an individual patient data meta-analysis of survival data by means of the penalized maximum likelihood approach. Rondeau V, Michiels S, Liquet B, Pignon JP, Stat Med 2008 27 11 1894 1910 10.1002/sim.3161 18069745 (Pubitemid 351618883)
-
(2008)
Statistics in Medicine
, vol.27
, Issue.11
, pp. 1894-1910
-
-
Rondeau, V.1
Michiels, S.2
Liquet, B.3
Pignon, J.P.4
-
43
-
-
33846628943
-
The obesity-survival paradox in hemodialysis patients: Why do overweight hemodialysis patients live longer?
-
The obesity-survival paradox in hemodialysis patients: why do overweight hemodialysis patients live longer? Schmidt D, Salahudeen A, Nutr Clin Pract 2007 22 11 15 10.1177/011542650702200111 17242449 (Pubitemid 46175467)
-
(2007)
Nutrition in Clinical Practice
, vol.22
, Issue.1
, pp. 11-15
-
-
Schmidt, D.1
Salahudeen, A.2
-
44
-
-
17344386270
-
Identification of risk factors in hypertensive patients: Contribution of randomized controlled trials through an individual patient database
-
10.1161/01.CIR.100.18.e88 10545441
-
Identification of risk factors in hypertensive patients: contribution of randomized controlled trials through an individual patient database. Gueyffier F, Boissel JP, Pocock S, Boutitie F, Coope J, Cutler J, Ekbom T, Fagard R, Friedman L, Kerlikowske K, Perry M, Prineas R, Schron E, Circulation 1999 100 18 88 e94 10.1161/01.CIR.100.18.e88 10545441
-
(1999)
Circulation
, vol.100
, Issue.18
-
-
Gueyffier, F.1
Boissel, J.P.2
Pocock, S.3
Boutitie, F.4
Coope, J.5
Cutler, J.6
Ekbom, T.7
Fagard, R.8
Friedman, L.9
Kerlikowske, K.10
Perry, M.11
Prineas, R.12
Schron, E.13
-
45
-
-
78149260793
-
Statistical methods for the time-to-event analysis of individual participant data from multiple epidemiological studies
-
20439481
-
Statistical methods for the time-to-event analysis of individual participant data from multiple epidemiological studies. Thompson S, Kaptoge S, White I, Wood A, Perry P, Danesh J, Collaboration TERF, Int J Epidemiol 2010 39 1345 1359 http://ije.oxfordjournals.org/content/early/2010/05/03/ije.dyq063. abstract 10.1093/ije/dyq063 20439481
-
(2010)
Int J Epidemiol
, vol.39
, pp. 1345-1359
-
-
Thompson, S.1
Kaptoge, S.2
White, I.3
Wood, A.4
Perry, P.5
Danesh, J.6
Collaboration, T.7
-
46
-
-
84857135675
-
Assessment of publication bias, selection bias, and unavailable data in meta-analyses using individual participant data: A database survey
-
10.1136/bmj.d7762 22214758
-
Assessment of publication bias, selection bias, and unavailable data in meta-analyses using individual participant data: a database survey. Ahmed I, Sutton AJ, Riley RD, BMJ 2012 344 7762 10.1136/bmj.d7762 22214758
-
(2012)
BMJ
, vol.344
, pp. 47762
-
-
Ahmed, I.1
Sutton, A.J.2
Riley, R.D.3
|