-
1
-
-
77953517123
-
Long-term follow-up in cancer prevention trials (It ain't over 'til it's over)
-
Cuzick J,. Long-term follow-up in cancer prevention trials (It ain't over 'til it's over). Cancer Prev Res 2010; 3: 689-691.
-
(2010)
Cancer Prev Res
, vol.3
, pp. 689-691
-
-
Cuzick, J.1
-
2
-
-
84872855331
-
Moving a randomized clinical trial into an observational cohort
-
Goodman PJ, Hartline JA, Tangen CM, et al. Moving a randomized clinical trial into an observational cohort. Clin Trials 2013; 10: 131-142.
-
(2013)
Clin Trials
, vol.10
, pp. 131-142
-
-
Goodman, P.J.1
Hartline, J.A.2
Tangen, C.M.3
-
3
-
-
84911435255
-
The transitioning from trials to extended follow-up studies
-
Drye LT, Casper AS, Sternberg AL, et al. The transitioning from trials to extended follow-up studies. Clin Trials 2014; 11: 635-647.
-
(2014)
Clin Trials
, vol.11
, pp. 635-647
-
-
Drye, L.T.1
Casper, A.S.2
Sternberg, A.L.3
-
4
-
-
79952576381
-
-
National Research Council, Panel on Handling Missing Data in Clinical Trials, Committee on National Statistics, Division of Behavioral and Social Sciences and Education. Washington,DC: National Academies Press
-
National Research Council, Panel on Handling Missing Data in Clinical Trials, Committee on National Statistics, Division of Behavioral and Social Sciences and Education. The prevention and treatment of missing data in clinical trials. Washington,DC: National Academies Press, 2010.
-
(2010)
The Prevention and Treatment of Missing Data in Clinical Trials
-
-
-
5
-
-
0017133178
-
Inference and missing data
-
Rubin D,. Inference and missing data. Biometrika 1976; 63: 581-592.
-
(1976)
Biometrika
, vol.63
, pp. 581-592
-
-
Rubin, D.1
-
6
-
-
84907499920
-
Practical and statistical issues in missing data for longitudinal patient reported outcomes
-
Bell ML, Fairclough DL,. Practical and statistical issues in missing data for longitudinal patient reported outcomes. Stat Methods Med Res 2014; 23: 440-459.
-
(2014)
Stat Methods Med Res
, vol.23
, pp. 440-459
-
-
Bell, M.L.1
Fairclough, D.L.2
-
7
-
-
68249114452
-
Multiple imputation for missing data in epidemiological and clinical research: Potential and pitfalls
-
Sterne JA, White IR, Carlin JB, et al. Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. BMJ 2009; 338: b2393.
-
(2009)
BMJ
, vol.338
, pp. b2393
-
-
Sterne, J.A.1
White, I.R.2
Carlin, J.B.3
-
8
-
-
84865490979
-
Including all individuals is not enough: Lessons for intention-to-treat analysis
-
White IR, Carpenter J, Horton NJ,. Including all individuals is not enough: lessons for intention-to-treat analysis. Clin Trials 2012; 9: 396-407.
-
(2012)
Clin Trials
, vol.9
, pp. 396-407
-
-
White, I.R.1
Carpenter, J.2
Horton, N.J.3
-
9
-
-
84929252277
-
Handling missing data in RCTs: A review of the top medical journals
-
Bell ML, Fiero M, Horton NJ, et al. Handling missing data in RCTs: a review of the top medical journals. BMC Med Res Methodol 2014; 14: 118.
-
(2014)
BMC Med Res Methodol
, vol.14
, pp. 118
-
-
Bell, M.L.1
Fiero, M.2
Horton, N.J.3
-
10
-
-
84902740980
-
A review of the handling of missing longitudinal outcome data in clinical trials
-
Powney M, Williamson P, Kirkham J, et al. A review of the handling of missing longitudinal outcome data in clinical trials. Trials 2014; 15: 237.
-
(2014)
Trials
, vol.15
, pp. 237
-
-
Powney, M.1
Williamson, P.2
Kirkham, J.3
-
11
-
-
85047673373
-
Missing data: Our view of the state of the art
-
Schafer JL, Graham JW,. Missing data: our view of the state of the art. Psychol Methods 2002; 7: 147-177.
-
(2002)
Psychol Methods
, vol.7
, pp. 147-177
-
-
Schafer, J.L.1
Graham, J.W.2
-
12
-
-
84878516633
-
Review of inverse probability weighting for dealing with missing data
-
Seaman SR, White IR,. Review of inverse probability weighting for dealing with missing data. Stat Methods Med Res 2013; 22: 278-295.
-
(2013)
Stat Methods Med Res
, vol.22
, pp. 278-295
-
-
Seaman, S.R.1
White, I.R.2
-
13
-
-
0020333131
-
Random-effects models for longitudinal data
-
Laird NM, Ware JH,. Random-effects models for longitudinal data. Biometrics 1982; 38: 963-974.
-
(1982)
Biometrics
, vol.38
, pp. 963-974
-
-
Laird, N.M.1
Ware, J.H.2
-
14
-
-
27744601796
-
Direct likelihood analysis versus simple forms of imputation for missing data in randomized clinical trials
-
Beunckens C, Molenberghs G, Kenward MG,. Direct likelihood analysis versus simple forms of imputation for missing data in randomized clinical trials. Clin Trials 2005; 2: 379-386.
-
(2005)
Clin Trials
, vol.2
, pp. 379-386
-
-
Beunckens, C.1
Molenberghs, G.2
Kenward, M.G.3
-
17
-
-
78649584235
-
-
Committee for Proprietary Medicinal Products
-
Committee for Proprietary Medicinal Products. Guideline on missing data in confirmatory clinical trials., 2009, http://www.ema.europa.eu/docs/en-GB/document-library/Scientific-guideline/2010/09/WC500096793.pdf
-
(2009)
Guideline on Missing Data in Confirmatory Clinical Trials
-
-
-
18
-
-
25144472336
-
Are missing outcome data adequately handled? A review of published randomized controlled trials in major medical journals
-
Wood AM, White IR, Thompson SG,. Are missing outcome data adequately handled? A review of published randomized controlled trials in major medical journals. Clin Trials 2004; 1: 368-376.
-
(2004)
Clin Trials
, vol.1
, pp. 368-376
-
-
Wood, A.M.1
White, I.R.2
Thompson, S.G.3
-
19
-
-
84927701136
-
Are missing data adequately handled in cluster randomised trials? A systematic review and guidelines
-
Diaz-Ordaz K, Kenward MG, Cohen A, et al. Are missing data adequately handled in cluster randomised trials? A systematic review and guidelines. Clin Trials 2014; 11: 590-600.
-
(2014)
Clin Trials
, vol.11
, pp. 590-600
-
-
Diaz-Ordaz, K.1
Kenward, M.G.2
Cohen, A.3
-
20
-
-
84957882755
-
Statistical analysis and handling of missing data in cluster randomized trials: A systematic review
-
Fiero MH, Huang S, Oren E, et al. Statistical analysis and handling of missing data in cluster randomized trials: a systematic review. Trials 2016; 17: 72.
-
(2016)
Trials
, vol.17
, pp. 72
-
-
Fiero, M.H.1
Huang, S.2
Oren, E.3
-
22
-
-
84973587732
-
A coefficient of agreement for nominal scales
-
Cohen J,. A coefficient of agreement for nominal scales. Educ Psychol Meas 1960; 20: 37-46.
-
(1960)
Educ Psychol Meas
, vol.20
, pp. 37-46
-
-
Cohen, J.1
-
23
-
-
0041182327
-
The generalized estimating equation approach when data are not missing completely at random
-
Paik MC,. The generalized estimating equation approach when data are not missing completely at random. J Am Stat Assoc 1997; 92: 1320-1329.
-
(1997)
J Am Stat Assoc
, vol.92
, pp. 1320-1329
-
-
Paik, M.C.1
-
24
-
-
84927759743
-
The rise of multiple imputation: A review of the reporting and implementation of the method in medical research
-
Hayati Rezvan P, Lee KJ, Simpson JA,. The rise of multiple imputation: a review of the reporting and implementation of the method in medical research. BMC Med Res Methodol 2015; 15: 30.
-
(2015)
BMC Med Res Methodol
, vol.15
, pp. 30
-
-
Hayati Rezvan, P.1
Lee, K.J.2
Simpson, J.A.3
-
25
-
-
84933278033
-
Intensive versus conventional glucose control in critically ill patients with traumatic brain injury: Long-term follow-up of a subgroup of patients from the NICE-SUGAR study
-
Finfer S, Chittock D, Li Y, et al. Intensive versus conventional glucose control in critically ill patients with traumatic brain injury: long-term follow-up of a subgroup of patients from the NICE-SUGAR study. Intensive Care Med 2015; 41: 1037-1047.
-
(2015)
Intensive Care Med
, vol.41
, pp. 1037-1047
-
-
Finfer, S.1
Chittock, D.2
Li, Y.3
-
26
-
-
84950455641
-
Regression with missing X's: A review
-
Little RJA,. Regression with missing X's: a review. J Am Stat Assoc 1992; 87: 1227-1237.
-
(1992)
J Am Stat Assoc
, vol.87
, pp. 1227-1237
-
-
Little, R.J.A.1
-
27
-
-
0027546329
-
Evaluating interventions with differential attrition: The importance of nonresponse mechanisms and use of follow-up data
-
Graham JW, Donaldson SI,. Evaluating interventions with differential attrition: the importance of nonresponse mechanisms and use of follow-up data. J Appl Psychol 1993; 78: 119-128.
-
(1993)
J Appl Psychol
, vol.78
, pp. 119-128
-
-
Graham, J.W.1
Donaldson, S.I.2
-
28
-
-
84856206744
-
Dealing with missing outcome data in randomized trials and observational studies
-
Groenwold RH, Donders AR, Roes KC, et al. Dealing with missing outcome data in randomized trials and observational studies. Am J Epidemiol 2012; 175: 210-217.
-
(2012)
Am J Epidemiol
, vol.175
, pp. 210-217
-
-
Groenwold, R.H.1
Donders, A.R.2
Roes, K.C.3
-
29
-
-
10644222277
-
Analyzing incomplete longitudinal clinical trial data
-
Molenberghs G, Thijs H, Jansen I, et al. Analyzing incomplete longitudinal clinical trial data. Biostatistics 2004; 5: 445-464.
-
(2004)
Biostatistics
, vol.5
, pp. 445-464
-
-
Molenberghs, G.1
Thijs, H.2
Jansen, I.3
-
30
-
-
84930393282
-
Intention-to-treat analysis with treatment discontinuation and missing data in clinical trials
-
Little R, Kang S,. Intention-to-treat analysis with treatment discontinuation and missing data in clinical trials. Stat Med 2015; 34: 2381-2390.
-
(2015)
Stat Med
, vol.34
, pp. 2381-2390
-
-
Little, R.1
Kang, S.2
-
31
-
-
84977567926
-
A taxonomy of estimands for regulatory clinical trials with discontinuations
-
Permutt T,. A taxonomy of estimands for regulatory clinical trials with discontinuations. Stat Med 2016; 35: 2865-2875.
-
(2016)
Stat Med
, vol.35
, pp. 2865-2875
-
-
Permutt, T.1
-
32
-
-
84977483367
-
Comments on the three papers by the FDA/CDER research team on the regulatory perspective of the missing data problem
-
Shih WJ,. Comments on the three papers by the FDA/CDER research team on the regulatory perspective of the missing data problem. Stat Med 2016; 35: 2880-2886.
-
(2016)
Stat Med
, vol.35
, pp. 2880-2886
-
-
Shih, W.J.1
|