-
1
-
-
0347917301
-
Effects and non-effects of paired identical observations in comparing proportions with binary matched-pairs data
-
Agresti, A., & Min, Y. (2004). Effects and non-effects of paired identical observations in comparing proportions with binary matched-pairs data. Statistics in Medicine, 23, 65-75.
-
(2004)
Statistics in Medicine
, vol.23
, pp. 65-75
-
-
Agresti, A.1
Min, Y.2
-
2
-
-
35448972461
-
Propensity-score matching in the cardiovascular surgery literature from 2004 to 2006: A systematic review and suggestions for improvement
-
doi:10.1016/j.jtcvs.2007.07.021
-
Austin, P. C. (2007a). Propensity-score matching in the cardiovascular surgery literature from 2004 to 2006: A systematic review and suggestions for improvement. Journal of Thoracic and Cardiovascular Surgery, 134, 1128-1135. doi:10.1016/j.jtcvs.2007.07.021
-
(2007)
Journal of Thoracic and Cardiovascular Surgery
, vol.134
, pp. 1128-1135
-
-
Austin, P.C.1
-
3
-
-
34249863765
-
The performance of different propensity score methods for estimating marginal odds ratios
-
doi:10.1002/sim.2781
-
Austin, P. C. (2007b). The performance of different propensity score methods for estimating marginal odds ratios. Statistics in Medicine, 26, 3078-3094. doi:10.1002/sim.2781
-
(2007)
Statistics in Medicine
, vol.26
, pp. 3078-3094
-
-
Austin, P.C.1
-
4
-
-
44649173785
-
A critical appraisal of propensity score matching in the medical literature from 1996 to 2003
-
doi:10.1002/sim.3150
-
Austin, P. C. (2008a). A critical appraisal of propensity score matching in the medical literature from 1996 to 2003. Statistics in Medicine, 27, 2037-2049. doi:10.1002/sim.3150
-
(2008)
Statistics in Medicine
, vol.27
, pp. 2037-2049
-
-
Austin, P.C.1
-
5
-
-
67249139797
-
A report card on propensity-score matching in the cardiology literature from 2004 to 2006: Results of a systematic review
-
doi:10.1161/CIRCOUTCOMES.108.790634
-
Austin, P. C. (2008b). A report card on propensity-score matching in the cardiology literature from 2004 to 2006: Results of a systematic review. Circulation: Cardiovascular Quality and Outcomes, 1, 62-67. doi:10.1161/CIRCOUTCOMES.108.790634
-
(2008)
Circulation: Cardiovascular Quality and Outcomes
, vol.1
, pp. 62-67
-
-
Austin, P.C.1
-
6
-
-
59649105576
-
Goodness-of-fit diagnostics for the propensity score model when estimating treatment effects using covariate adjustment with the propensity score
-
doi:10.1002/pds.1673
-
Austin, P. C. (2008c). Goodness-of-fit diagnostics for the propensity score model when estimating treatment effects using covariate adjustment with the propensity score. Pharmacoepidemiology and Drug Safety, 17, 1202-1217. doi:10.1002/pds.1673
-
(2008)
Pharmacoepidemiology and Drug Safety
, vol.17
, pp. 1202-1217
-
-
Austin, P.C.1
-
7
-
-
43049162150
-
The performance of different propensity score methods for estimating relative risks
-
doi:10.1016/j.jclinepi.2007.07.011
-
Austin, P. C. (2008d). The performance of different propensity score methods for estimating relative risks. Journal of Clinical Epidemiology, 61, 537-545. doi:10.1016/j.jclinepi.2007.07.011
-
(2008)
Journal of Clinical Epidemiology
, vol.61
, pp. 537-545
-
-
Austin, P.C.1
-
8
-
-
70449641720
-
Using the standardized difference to compare the prevalence of a binary variable between two groups in observational research
-
doi:10.1080/03610910902859574
-
Austin, P. C. (2009a). Using the standardized difference to compare the prevalence of a binary variable between two groups in observational research. Communications in Statistics Simulation and Computation, 38, 1228-1234. doi:10.1080/03610910902859574
-
(2009)
Communications in Statistics Simulation and Computation
, vol.38
, pp. 1228-1234
-
-
Austin, P.C.1
-
9
-
-
70449365700
-
Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples
-
doi:10.1002/sim.3697
-
Austin, P. C. (2009b). Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples. Statistics in Medicine, 28, 3083-3107. doi:10.1002/sim.3697
-
(2009)
Statistics in Medicine
, vol.28
, pp. 3083-3107
-
-
Austin, P.C.1
-
10
-
-
72149119483
-
The relative ability of different propensity-score methods to balance measured covariates between treated and untreated subjects in observational studies
-
doi:10.1177/0272989X09341755
-
Austin, P. C. (2009c). The relative ability of different propensity-score methods to balance measured covariates between treated and untreated subjects in observational studies. Medical Decision Making, 29, 661-677. doi:10.1177/0272989X09341755
-
(2009)
Medical Decision Making
, vol.29
, pp. 661-677
-
-
Austin, P.C.1
-
11
-
-
67249097811
-
Type I error rates, coverage of confidence intervals, and variance estimation in propensity-score matched analyses
-
Article 13. doi:10.2202/1557-4679.1146
-
Austin, P. C. (2009d). Type I error rates, coverage of confidence intervals, and variance estimation in propensity-score matched analyses. The International Journal of Biostatistics, 5, Article 13. doi:10.2202/1557-4679.1146
-
(2009)
The International Journal of Biostatistics
, vol.5
-
-
Austin, P.C.1
-
12
-
-
77958600686
-
Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies
-
doi:10.1002/pst.433
-
Austin, P. C. (2010a). Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies. Pharmaceutical Statistics. doi:10.1002/pst.433
-
(2010)
Pharmaceutical Statistics
-
-
Austin, P.C.1
-
13
-
-
70649092017
-
Absolute risk reductions, relative risks, relative risk reductions, and numbers needed to treat can be obtained from a logistic regressionmodel
-
doi:10.1016/j.jclinepi.2008.11.004
-
Austin, P. C. (2010b). Absolute risk reductions, relative risks, relative risk reductions, and numbers needed to treat can be obtained from a logistic regressionmodel. Journal of Clinical Epidemiology, 63, 2-6. doi:10.1016/j.jclinepi.2008.11.004
-
(2010)
Journal of Clinical Epidemiology
, vol.63
, pp. 2-6
-
-
Austin, P.C.1
-
14
-
-
70649104793
-
Absolute risk reductions and numbers needed to treat can be obtained from adjusted survival models for time-to-event outcomes
-
doi:10.1016/j.jclinepi.2009.03.012
-
Austin, P. C. (2010c). Absolute risk reductions and numbers needed to treat can be obtained from adjusted survival models for time-to-event outcomes. Journal of Clinical Epidemiology, 63, 46-55. doi:10.1016/j.jclinepi.2009.03.012
-
(2010)
Journal of Clinical Epidemiology
, vol.63
, pp. 46-55
-
-
Austin, P.C.1
-
15
-
-
77956314484
-
The performance of different propensity score methods for estimating difference in proportions (risk differences or absolute risk reductions) in observational studies
-
doi:10.1002/sim.3854
-
Austin, P. C. (2010d). The performance of different propensity score methods for estimating difference in proportions (risk differences or absolute risk reductions) in observational studies. Statistics in Medicine, 29, 2137-2148. doi:10.1002/sim.3854
-
(2010)
Statistics in Medicine
, vol.29
, pp. 2137-2148
-
-
Austin, P.C.1
-
16
-
-
79951474347
-
A tutorial on methods to estimating clinically and policymeaningful measures of treatment effects in prospective observational studies: A review
-
article 6. doi:10.2202/1557-4769.1285
-
Austin, P. C., & Laupacis, A. (2011). A tutorial on methods to estimating clinically and policymeaningful measures of treatment effects in prospective observational studies: A review. International Journal of Biostatistics, 7, article 6. doi:10.2202/1557-4769.1285
-
(2011)
International Journal of Biostatistics
, vol.7
-
-
Austin, P.C.1
Laupacis, A.2
-
17
-
-
79951795412
-
Using the propensity score to estimate treatment effects in observational studies: Designing observational studies to look like randomized experiments
-
(in press-a)
-
Austin, P. C. (in press-a). Using the propensity score to estimate treatment effects in observational studies: Designing observational studies to look like randomized experiments. Multivariate Behavioral Research.
-
Multivariate Behavioral Research
-
-
Austin, P.C.1
-
18
-
-
79955639125
-
Comparing paired vs. non-paired statistical methods of analyses when making inferences about absolute risk infections in propensity-score matched samples
-
(in press-b), doi:10.1002/sim.4200
-
Austin, P. C. (in press-b). Comparing paired vs. non-paired statistical methods of analyses when making inferences about absolute risk infections in propensity-score matched samples. Statistics in Medicine. doi:10.1002/sim.4200.
-
Statistics in Medicine
-
-
Austin, P.C.1
-
19
-
-
33846842327
-
A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: A Monte Carlo study
-
doi:10.1002/sim.2580
-
Austin, P. C., Grootendorst, P., & Anderson, G. M. (2007). A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: A Monte Carlo study. Statistics in Medicine, 26, 734-753. doi:10.1002/sim.2580
-
(2007)
Statistics in Medicine
, vol.26
, pp. 734-753
-
-
Austin, P.C.1
Grootendorst, P.2
Anderson, G.M.3
-
20
-
-
33846813595
-
Conditioning on the propensity score can result in biased estimation of common measures of treatment effect: A Monte Carlo study
-
doi:10.1002/sim.2618
-
Austin, P. C., Grootendorst, P., Normand S. L. T., & Anderson, G. M. (2007). Conditioning on the propensity score can result in biased estimation of common measures of treatment effect: A Monte Carlo study. Statistics in Medicine, 26, 754-768. doi:10.1002/sim.2618
-
(2007)
Statistics in Medicine
, vol.26
, pp. 754-768
-
-
Austin, P.C.1
Grootendorst, P.2
Normand, S.L.T.3
Anderson, G.M.4
-
21
-
-
33745466638
-
A comparison of propensity score methods: A case-study estimating the effectiveness of post-AMI statin use
-
doi:10.1002/sim.2328
-
Austin, P. C., & Mamdani M. M. (2006). A comparison of propensity score methods: A case-study estimating the effectiveness of post-AMI statin use. Statistics in Medicine, 25, 2084-2106. doi:10.1002/sim.2328
-
(2006)
Statistics in Medicine
, vol.25
, pp. 2084-2106
-
-
Austin, P.C.1
Mamdani, M.M.2
-
22
-
-
19144368778
-
The use of the propensity score for estimating treatment effects: Administrative versus clinical data
-
doi:10.1002/sim.2053
-
Austin, P. C., Mamdani, M. M., Stukel, T. A., Anderson, G. M., & Tu, J. V. (2005). The use of the propensity score for estimating treatment effects: Administrative versus clinical data. Statistics in Medicine, 24, 1563-1578. doi:10.1002/sim.2053
-
(2005)
Statistics in Medicine
, vol.24
, pp. 1563-1578
-
-
Austin, P.C.1
Mamdani, M.M.2
Stukel, T.A.3
Anderson, G.M.4
Tu, J.V.5
-
23
-
-
14544307398
-
The use of quantile regression in health care research: A case study examining gender differences in the delivery of thrombolysis
-
doi:10.1002/sim.1851
-
Austin, P. C., Tu, J. V., Daly, P. A., & Alter, D. A. (2005). The use of quantile regression in health care research: A case study examining gender differences in the delivery of thrombolysis. Statistics in Medicine, 24, 791-816. doi:10.1002/sim.1851
-
(2005)
Statistics in Medicine
, vol.24
, pp. 791-816
-
-
Austin, P.C.1
Tu, J.V.2
Daly, P.A.3
Alter, D.A.4
-
25
-
-
0041903710
-
Matched cohort methods for injury research
-
Cummings, P., McKnight, B., & Greenland, S. (2003). Matched cohort methods for injury research. Epidemiologic Reviews, 25, 43-50.
-
(2003)
Epidemiologic Reviews
, vol.25
, pp. 43-50
-
-
Cummings, P.1
McKnight, B.2
Greenland, S.3
-
26
-
-
54049154727
-
Predictors of smoking cessation after a myocardial infarction: The role of institutional smoking cessation programs in improving success
-
PREMIER Registry Investigators
-
Dawood, N., Vaccarino, V., Reid, K. J., Spertus, J. A., Hamid, N., Parashar, S., & PREMIER Registry Investigators. (2008). Predictors of smoking cessation after a myocardial infarction: The role of institutional smoking cessation programs in improving success. Archives of Internal Medicine, 168, 1961-1967.
-
(2008)
Archives of Internal Medicine
, vol.168
, pp. 1961-1967
-
-
Dawood, N.1
Vaccarino, V.2
Reid, K.J.3
Spertus, J.A.4
Hamid, N.5
Parashar, S.6
-
27
-
-
0034117139
-
A randomized controlled trial of smoking cessation counseling after myocardial infarction
-
Dornelas, E. A., Sampson, R. A., Gray, J. F., Waters, D., & Thompson, P. D. (2000). A randomized controlled trial of smoking cessation counseling after myocardial infarction. Preventive Medicine, 30, 261-268.
-
(2000)
Preventive Medicine
, vol.30
, pp. 261-268
-
-
Dornelas, E.A.1
Sampson, R.A.2
Gray, J.F.3
Waters, D.4
Thompson, P.D.5
-
29
-
-
84865349347
-
Standard distance in univariate and multivariate analysis
-
Flury, B. K., & Riedwyl, H. (1986). Standard distance in univariate and multivariate analysis. The American Statistician, 40, 249-251.
-
(1986)
The American Statistician
, vol.40
, pp. 249-251
-
-
Flury, B.K.1
Riedwyl, H.2
-
30
-
-
77956891487
-
Biased estimates of treatment effect in randomized experiments with nonlinear regressions and omitted covariates
-
Gail, M. H., Wieand, S., & Piantadosi, S. (1984). Biased estimates of treatment effect in randomized experiments with nonlinear regressions and omitted covariates. Biometrika, 7, 431-444.
-
(1984)
Biometrika
, vol.7
, pp. 431-444
-
-
Gail, M.H.1
Wieand, S.2
Piantadosi, S.3
-
31
-
-
16644387095
-
Meta-analysis of the efficacy of tobacco counseling by health care providers
-
Gorin, S. S., & Heck, J. E. (2004). Meta-analysis of the efficacy of tobacco counseling by health care providers. Cancer Epidemiology, Biomarkers and Prevention, 13, 2012-2022.
-
(2004)
Cancer Epidemiology, Biomarkers and Prevention
, vol.13
, pp. 2012-2022
-
-
Gorin, S.S.1
Heck, J.E.2
-
32
-
-
0023203943
-
Interpretation and choice of effect measures in epidemiologic analyses
-
Greenland, S. (1987). Interpretation and choice of effect measures in epidemiologic analyses. American Journal of Epidemiology, 125, 761-768.
-
(1987)
American Journal of Epidemiology
, vol.125
, pp. 761-768
-
-
Greenland, S.1
-
34
-
-
44649125859
-
Linear rank tests in survival analysis
-
In P. Armitage & T. Colton (Eds.), 2nd ed., New York, NY: Wiley
-
Harrington, D. (2005). Linear rank tests in survival analysis. In P. Armitage & T. Colton (Eds.), Encyclopedia of biostatistics (2nd ed., pp. 2802-2812). New York, NY: Wiley.
-
(2005)
Encyclopedia of Biostatistics
, pp. 2802-2812
-
-
Harrington, D.1
-
35
-
-
34249885738
-
Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference
-
Ho, D. E., Imai, K., King, G., & Stuart, E. A. (2007). Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference. Political Analysis, 15, 199-236.
-
(2007)
Political Analysis
, vol.15
, pp. 199-236
-
-
Ho, D.E.1
Imai, K.2
King, G.3
Stuart, E.A.4
-
36
-
-
40549104115
-
Misunderstandings between experimentalists and observationalists about causal inference
-
Imai, K., King, G., & Stuart, E. A. (2008). Misunderstandings between experimentalists and observationalists about causal inference. Journal of the Royal Statistical Society, Series A, 171, 481-501.
-
(2008)
Journal of the Royal Statistical Society, Series A
, vol.171
, pp. 481-501
-
-
Imai, K.1
King, G.2
Stuart, E.A.3
-
37
-
-
1842429563
-
Nonparametric estimation of average treatment effects under exogeneity: A review
-
Imbens, G. W. (2004). Nonparametric estimation of average treatment effects under exogeneity: A review. The Review of Economics and Statistics, 86, 4-29.
-
(2004)
The Review of Economics and Statistics
, vol.86
, pp. 4-29
-
-
Imbens, G.W.1
-
38
-
-
8744315994
-
Model selection, confounder control, and marginal structural models: Review and new applications
-
Joffe, M. M., Ten Have, T. R., Feldman, H. I., & Kimmel, S. E. (2004).Model selection, confounder control, and marginal structural models: Review and new applications. The American Statistician, 58, 272-279.
-
(2004)
The American Statistician
, vol.58
, pp. 272-279
-
-
Joffe, M.M.1
Ten, H.T.R.2
Feldman, H.I.3
Kimmel, S.E.4
-
41
-
-
4444230264
-
Stratification and weighting via the propensity score in estimation of causal treatment effects: A comparative study
-
Lunceford, J. K., & Davidian, M. (2004). Stratification and weighting via the propensity score in estimation of causal treatment effects: A comparative study. Statistics in Medicine, 23, 2937-2960.
-
(2004)
Statistics in Medicine
, vol.23
, pp. 2937-2960
-
-
Lunceford, J.K.1
Davidian, M.2
-
42
-
-
0037125872
-
Smoking status and risk for recurrent coronary events after myocardial infarction
-
Rea, T. D., Heckbert, S. R., Kaplan, R. C., Smith, N. L., Lemaitre, R. N., & Psaty B. M. (2002). Smoking status and risk for recurrent coronary events after myocardial infarction. Annals of Internal Medicine, 137, 494-500.
-
(2002)
Annals of Internal Medicine
, vol.137
, pp. 494-500
-
-
Rea, T.D.1
Heckbert, S.R.2
Kaplan, R.C.3
Smith, N.L.4
Lemaitre, R.N.5
Psaty, B.M.6
-
43
-
-
54049091967
-
Smoking cessation interventions for hospitalized smokers: A systematic review
-
Rigotti, N. A., Munafo, M. R., & Stead, L. F. (2008). Smoking cessation interventions for hospitalized smokers: A systematic review. Archives of Internal Medicine, 168, 1950-1960.
-
(2008)
Archives of Internal Medicine
, vol.168
, pp. 1950-1960
-
-
Rigotti, N.A.1
Munafo, M.R.2
Stead, L.F.3
-
44
-
-
33645217214
-
Propensity score
-
In P. Armitage & T. Colton (Eds.), 2nd ed., Chichester, England: Wiley
-
Rosenbaum, P. R. (2005). Propensity score. In P. Armitage & T. Colton (Eds.), Encyclopedia of biostatistics (2nd ed., pp. 4267-4272). Chichester, England: Wiley.
-
(2005)
Encyclopedia of Biostatistics
, pp. 4267-4272
-
-
Rosenbaum, P.R.1
-
45
-
-
0001679041
-
Assessing sensitivity to an unobserved binary covariate in an observational study with binary outcome
-
Rosenbaum, P. R., & Rubin, D. B. (1983). Assessing sensitivity to an unobserved binary covariate in an observational study with binary outcome. The Journal of the Royal Statistical Society, B, 45, 212-218.
-
(1983)
The Journal of the Royal Statistical Society, B
, vol.45
, pp. 212-218
-
-
Rosenbaum, P.R.1
Rubin, D.B.2
-
46
-
-
84949193513
-
Reducing bias in observational studies using subclassification on the propensity score
-
Rosenbaum, P. R., & Rubin, D. B. (1984). Reducing bias in observational studies using subclassification on the propensity score. Journal of the American Statistical Association, 79, 516-524.
-
(1984)
Journal of the American Statistical Association
, vol.79
, pp. 516-524
-
-
Rosenbaum, P.R.1
Rubin, D.B.2
-
47
-
-
84945581878
-
Constructing a control group using multivariate matched sampling methods that incorporate the propensity score
-
Rosenbaum, P. R., & Rubin, D. B. (1985). Constructing a control group using multivariate matched sampling methods that incorporate the propensity score. The American Statistician, 39, 33-38.
-
(1985)
The American Statistician
, vol.39
, pp. 33-38
-
-
Rosenbaum, P.R.1
Rubin, D.B.2
-
48
-
-
0001945410
-
Down with odds ratios!
-
September/October
-
Sackett, D. L. (1996, September/October). Down with odds ratios! Evidence-Based Medicine, pp. 164-166.
-
(1996)
Evidence-Based Medicine
, pp. 164-166
-
-
Sackett, D.L.1
-
49
-
-
0028018289
-
Clinically useful measures of effect in binary analyses of randomized trials
-
Sinclair, J. C., & Bracken, M. B. (1994). Clinically useful measures of effect in binary analyses of randomized trials. Journal of Clinical Epidemiology, 47, 881-889.
-
(1994)
Journal of Clinical Epidemiology
, vol.47
, pp. 881-889
-
-
Sinclair, J.C.1
Bracken, M.B.2
-
50
-
-
9644273139
-
-
(Report No. 1), Toronto, Ontario, Canada: Institute for Clinical Evaluative Sciences
-
Tu, J. V., Donovan, L. R., Lee, D. S., Austin, P. C., Ko, D. T., Wang, J. T., & Newman, A. M. (2004). Quality of cardiac care in Ontario: Phase 1 (Report No. 1). Toronto, Ontario, Canada: Institute for Clinical Evaluative Sciences.
-
(2004)
Quality of Cardiac Care in Ontario: Phase 1
-
-
Tu, J.V.1
Donovan, L.R.2
Lee, D.S.3
Austin, P.C.4
Ko, D.T.5
Wang, J.T.6
Newman, A.M.7
-
51
-
-
72249094112
-
Effectiveness of public report cards for improving the quality of cardiac care: The Enhanced Feedback For Effective Cardiac Treatment (EFFECT) study
-
Tu, J. V., Donovan, L. R., Lee, D. S., Wang, J. T., Austin, P. C., Alter, D. A., & Ko, D. T. (2009). Effectiveness of public report cards for improving the quality of cardiac care: The Enhanced Feedback For Effective Cardiac Treatment (EFFECT) study. Journal of the American Medical Association, 302, 2330-2337.
-
(2009)
Journal of the American Medical Association
, vol.302
, pp. 2330-2337
-
-
Tu, J.V.1
Donovan, L.R.2
Lee, D.S.3
Wang, J.T.4
Austin, P.C.5
Alter, D.A.6
Ko, D.T.7
-
52
-
-
34447578763
-
Inpatient smoking-cessation counseling and all-cause mortality in patients with acute myocardial infarction
-
Van Spall, H. G. C., Chong, A., & Tu, J. V. (2007). Inpatient smoking-cessation counseling and all-cause mortality in patients with acute myocardial infarction. American Heart Journal, 154, 213-220.
-
(2007)
American Heart Journal
, vol.154
, pp. 213-220
-
-
van Spall, H.G.C.1
Chong, A.2
Tu, J.V.3
-
53
-
-
17244379268
-
Weaknesses of goodness-of-fit tests for evaluating propensity score models: The case of the omitted confounder
-
Weitzen, S., Lapane, K. L., Toledano, A. Y., Hume, A. L., & Mor, V. (2005). Weaknesses of goodness-of-fit tests for evaluating propensity score models: the case of the omitted confounder. Pharmacoepidemiology and Drug Safety, 14, 227-238.
-
(2005)
Pharmacoepidemiology and Drug Safety
, vol.14
, pp. 227-238
-
-
Weitzen, S.1
Lapane, K.L.2
Toledano, A.Y.3
Hume, A.L.4
Mor, V.5
-
54
-
-
0034630424
-
Effect of smoking cessation on mortality after myocardial infarction: Meta-analysis of cohort studies
-
Wilson, K., Gibson, N., Willan, A., & Cook, D. (2000). Effect of smoking cessation on mortality after myocardial infarction: Meta-analysis of cohort studies. Archives of Internal Medicine, 160, 939-944.
-
(2000)
Archives of Internal Medicine
, vol.160
, pp. 939-944
-
-
Wilson, K.1
Gibson, N.2
Willan, A.3
Cook, D.4
-
55
-
-
27144479267
-
Adjusted Kaplan-Meier estimator and log-rank test with inverse probability of treatment weighting for survival data
-
Xie, J., & Liu, C. (2005). Adjusted Kaplan-Meier estimator and log-rank test with inverse probability of treatment weighting for survival data. Statistics in Medicine, 24, 3089-3110.
-
(2005)
Statistics in Medicine
, vol.24
, pp. 3089-3110
-
-
Xie, J.1
Liu, C.2
|