-
1
-
-
51849175221
-
Normal likelihood functions
-
MR0171348
-
ANSCOMBE, F. J. (1964). Normal likelihood functions. Ann. Inst. Statist. Math. 16 1-19. MR0171348
-
(1964)
Ann. Inst. Statist. Math.
, vol.16
, pp. 1-19
-
-
Anscombe, F.J.1
-
4
-
-
34848824770
-
Analysis of longitudinal data with drop-out: Objectives, assumptions, and a proposal
-
MR2405418
-
DIGGLE, P., FAREWELL, D., and HENDERSON, R. (2007). Analysis of longitudinal data with drop-out: Objectives, assumptions, and a proposal. J. R. Stat. Soc. Ser. C. Appl. Stat. 56 499-550. MR2405418
-
(2007)
J. R. Stat. Soc. Ser. C. Appl. Stat.
, vol.56
, pp. 499-550
-
-
Diggle, P.1
Farewell, D.2
Henderson, R.3
-
5
-
-
0346218283
-
Estimation with missing data (correspondence)
-
DIGGLE, P. J. (2004). Estimation with missing data (correspondence). Biometrics 50 580.
-
(2004)
Biometrics
, vol.50
, pp. 580
-
-
Diggle, P.J.1
-
6
-
-
84878966469
-
Discussion of "Application of likelihood methods to models involving large numbers of parameters" by J
-
D. Kalbfleisch, and D. A. Sprott.
-
EDWARDS, A. W. F. (1970). Discussion of "Application of likelihood methods to models involving large numbers of parameters" by J. D. Kalbfleisch, and D. A. Sprott. J. R. Stat. Soc. Ser. B Stat. Methodol. 32 196-198.
-
(1970)
J. R. Stat. Soc. Ser. B Stat. Methodol.
, vol.32
, pp. 196-198
-
-
Edwards, A.W.F.1
-
8
-
-
25644445526
-
-
Wiley, Hoboken, NJ. MR2830137 2nd ed
-
FITZMAURICE, G. M., LAIRD, N. M., and WARE, J. H. (2011). Applied Longitudinal Analysis, 2nd ed. Wiley, Hoboken, NJ. MR2830137
-
(2011)
Applied Longitudinal Analysis
-
-
Fitzmaurice, G.M.1
Laird, N.M.2
Ware, J.H.3
-
9
-
-
60449120489
-
Partial, and latent ignorability in missing-data problems
-
MR2482133
-
HAREL, O., and SCHAFER, J. L. (2009). Partial, and latent ignorability in missing-data problems. Biometrika 96 37-50. MR2482133
-
(2009)
Biometrika
, vol.96
, pp. 37-50
-
-
Harel, O.1
Schafer, J.L.2
-
10
-
-
0027756948
-
Ignorability, and coarse data: Some biomedical examples
-
HEITJAN, D. F. (1993). Ignorability, and coarse data: Some biomedical examples. Biometrics 49 1099-1109.
-
(1993)
Biometrics
, vol.49
, pp. 1099-1109
-
-
Heitjan, D.F.1
-
11
-
-
0000579766
-
Ignorability in general incompletedata models
-
MR1326420
-
HEITJAN, D. F. (1994). Ignorability in general incompletedata models. Biometrika 81 701-708. MR1326420
-
(1994)
Biometrika
, vol.81
, pp. 701-708
-
-
Heitjan, D.F.1
-
12
-
-
0040901467
-
Ignorability, sufficiency, and ancillarity
-
MR1440587
-
HEITJAN, D. F. (1997). Ignorability, sufficiency, and ancillarity. J. R. Stat. Soc. Ser. B Stat. Methodol. 59 375-381. MR1440587
-
(1997)
J. R. Stat. Soc. Ser. B Stat. Methodol.
, vol.59
, pp. 375-381
-
-
Heitjan, D.F.1
-
13
-
-
0346218283
-
Estimation with missing data (correspondence)
-
HEITJAN, D. F. (2004). Estimation with missing data (correspondence). Biometrics 50 580.
-
(2004)
Biometrics
, vol.50
, pp. 580
-
-
Heitjan, D.F.1
-
14
-
-
0030343462
-
Distinguishing "missing at random", and "missing completely at random"
-
MR1422070
-
HEITJAN, D. F., and BASU, S. (1996). Distinguishing "missing at random", and "missing completely at random". Amer. Statist. 50 207-213. MR1422070
-
(1996)
Amer. Statist.
, vol.50
, pp. 207-213
-
-
Heitjan, D.F.1
Basu, S.2
-
15
-
-
0000993483
-
Ignorability, and coarse data
-
MR1135174
-
HEITJAN, D. F., and RUBIN, D. B. (1991). Ignorability, and coarse data. Ann. Statist. 19 2244-2253. MR1135174
-
(1991)
Ann. Statist.
, vol.19
, pp. 2244-2253
-
-
Heitjan, D.F.1
Rubin, D.B.2
-
16
-
-
0242605023
-
Canonical likelihoods: A new likelihood treatment of nuisance parameters
-
MR0885918
-
HINDE, J., and AITKIN, M. (1987). Canonical likelihoods: A new likelihood treatment of nuisance parameters. Biometrika 74 45-58. MR0885918
-
(1987)
Biometrika
, vol.74
, pp. 45-58
-
-
Hinde, J.1
Aitkin, M.2
-
17
-
-
31144449075
-
Ignorability in statistical, and probabilistic inference
-
MR2200528,(electronic)
-
JAEGER, M. (2005). Ignorability in statistical, and probabilistic inference. J. Artificial Intelligence Res. 24 889-917 (electronic). MR2200528
-
(2005)
J. Artificial Intelligence Res.
, vol.24
, pp. 889-917
-
-
Jaeger, M.1
-
18
-
-
0001416775
-
Discussion of "Application of likelihood methods to models involving large numbers of parameters"
-
KALBFLEISCH, J. D., and SPROTT, D. A. (1970). Discussion of "Application of likelihood methods to models involving large numbers of parameters". J. R. Stat. Soc. Ser. B Stat. Methodol. 32 204-208.
-
(1970)
J. R. Stat. Soc. Ser. B Stat. Methodol.
, vol.32
, pp. 204-208
-
-
Kalbfleisch, J.D.1
Sprott, D.A.2
-
19
-
-
0030327756
-
The selection of prior distributions by formal rules
-
KASS, K. E. andWASSERMAN, L. (1996). The selection of prior distributions by formal rules. J. Amer. Statist. Assoc. 91 1343-1370.
-
(1996)
J. Amer. Statist. Assoc.
, vol.91
, pp. 1343-1370
-
-
Kass, K.E.1
Wasserman, L.2
-
20
-
-
0345734935
-
Likelihood based frequentist inference when data are missing at random
-
MR1665713
-
KENWARD, M. G., and MOLENBERGHS, G. (1998). Likelihood based frequentist inference when data are missing at random. Statist. Sci. 13 236-247. MR1665713
-
(1998)
Statist. Sci.
, vol.13
, pp. 236-247
-
-
Kenward, M.G.1
Molenberghs, G.2
-
21
-
-
0345156407
-
Comments on "Inference, and missing data"
-
LITTLE, R. J. A. (1976). Comments on "Inference, and missing data". Biometrika 63 590-591.
-
(1976)
Biometrika
, vol.63
, pp. 590-591
-
-
Little, R.J.A.1
-
22
-
-
84950452119
-
Modeling the drop-out mechanism in repeated-measures studies
-
MR1354029
-
LITTLE, R. J. A. (1995). Modeling the drop-out mechanism in repeated-measures studies. J. Amer. Statist. Assoc. 90 1112-1121. MR1354029
-
(1995)
J. Amer. Statist. Assoc.
, vol.90
, pp. 1112-1121
-
-
Little, R.J.A.1
-
24
-
-
85101444608
-
-
Wiley, Hoboken, NJ. MR1925014 2nd ed
-
LITTLE, R. J. A., and RUBIN, D. B. (2002). Statistical Analysis with Missing Data, 2nd ed. Wiley, Hoboken, NJ. MR1925014
-
(2002)
Statistical Analysis with Missing Data
-
-
Little, R.J.A.1
Rubin, D.B.2
-
25
-
-
24344443708
-
Missing at random, likelihood ignorability, and model completeness
-
MR2060176
-
LU, G., and COPAS, J. B. (2004). Missing at random, likelihood ignorability, and model completeness. Ann. Statist. 32 754-765. MR2060176
-
(2004)
Ann. Statist.
, vol.32
, pp. 754-765
-
-
Lu, G.1
Copas, J.B.2
-
27
-
-
78650383175
-
Pseudo-likelihood estimation for incomplete data
-
MR2796859
-
MOLENBERGHS, G., KENWARD, M. G., VERBEKE, G., and BIRHANU, T. (2011). Pseudo-likelihood estimation for incomplete data. Statist. Sinica 21 187-206. MR2796859
-
(2011)
Statist. Sinica
, vol.21
, pp. 187-206
-
-
Molenberghs, G.1
Kenward, M.G.2
Verbeke, G.3
Birhanu, T.4
-
29
-
-
33744830564
-
Can one assess whether missing data are missing at random in medical studies? Stat
-
MR2227446
-
POTTHOFF, R. F., TUDOR, G. E., PIEPER, K. S., and HASSELBLAD, V. (2006). Can one assess whether missing data are missing at random in medical studies? Stat. Methods Med. Res. 15 213-234. MR2227446
-
(2006)
Methods Med. Res.
, vol.15
, pp. 213-234
-
-
Potthoff, R.F.1
Tudor, G.E.2
Pieper, K.S.3
Hasselblad, V.4
-
30
-
-
0442324997
-
Likelihood
-
MR1825289
-
REID, N. (2000). Likelihood. J. Amer. Statist. Assoc. 95 1335-1340. MR1825289
-
(2000)
J. Amer. Statist. Assoc.
, vol.95
, pp. 1335-1340
-
-
Reid, N.1
-
31
-
-
0031014353
-
Non-response models for the analysis of non-monotone ignorable missing data
-
ROBINS, J. M., and GILL, R. D. (1997). Non-response models for the analysis of non-monotone ignorable missing data. Stat. Med. 16 39-56.
-
(1997)
Stat. Med.
, vol.16
, pp. 39-56
-
-
Robins, J.M.1
Gill, R.D.2
-
33
-
-
0017133178
-
Inference, and missing data
-
RUBIN, D. B. (1976). Inference, and missing data. Biometrika 63 581-592.
-
(1976)
Biometrika
, vol.63
, pp. 581-592
-
-
Rubin, D.B.1
-
34
-
-
84878987852
-
Reply to comments on "Inference, and missing data"
-
RUBIN, D. B. (1976). Reply to comments on "Inference, and missing data". Biometrika 63 591-592.
-
(1976)
Biometrika
, vol.63
, pp. 591-592
-
-
Rubin, D.B.1
-
35
-
-
0000439370
-
Bayesianly justifiable, and relevant frequency calculations for the applied statistician
-
MR0760681
-
RUBIN, D. B. (1984). Bayesianly justifiable, and relevant frequency calculations for the applied statistician. Ann. Statist. 12 1151-1172. MR0760681
-
(1984)
Ann. Statist.
, vol.12
, pp. 1151-1172
-
-
Rubin, D.B.1
-
38
-
-
68249114452
-
Multiple imputation for missing data in epidemiological, and clinical research: Potential, and pitfalls
-
art. no. b2393
-
STERNE, J. A.,WHITE, I. R., CARLIN, J. B., SPRATT, M., ROYSTON, P., KENWARD, M. G.,WOOD, A. M., and CARPENTER, J. R. (2009). Multiple imputation for missing data in epidemiological, and clinical research: Potential, and pitfalls. Br. Med. J. 338 art. no. b2393.
-
(2009)
Br. Med. J.
, pp. 338
-
-
Sterne, J.A.1
White, I.R.2
Carlin, J.B.3
Spratt, M.4
Royston, P.5
Kenward, M.G.6
Wood, A.M.7
Carpenter, J.R.8
-
41
-
-
14844292599
-
Comparison of imputation, and modelling methods in the analysis of a physical activity trial with missing outcomes
-
WOOD, A. M., WHITE, I. R., HILLSDON, M., and CARPENTER, J. (2004). Comparison of imputation, and modelling methods in the analysis of a physical activity trial with missing outcomes. Int. J. Epidemiol. 34 89-99.
-
(2004)
Int. J. Epidemiol.
, vol.34
, pp. 89-99
-
-
Wood, A.M.1
White, I.R.2
Hillsdon, M.3
Carpenter, J.4
|