-
1
-
-
0031031212
-
Readmission after hospitalization for congestive heart failure among Medicare beneficiaries
-
Krumholz HM, Parent EM, Tu N, Vaccarino V, Wang Y, Radford MJ, Hennen J, Readmission after hospitalization for congestive heart failure among Medicare beneficiaries. Arch Intern Med 1997 157 99 104
-
(1997)
Arch Intern Med
, vol.157
, pp. 99-104
-
-
Krumholz, H.M.1
Parent, E.M.2
Tu, N.3
Vaccarino, V.4
Wang, Y.5
Radford, M.J.6
Hennen, J.7
-
2
-
-
54049122494
-
An administrative claims measure suitable for profiling hospital performance on the basis of 30-day all-cause readmission rates among patients with heart failure
-
Keenan PS, Normand SL, Lin Z, Drye EE, Bhat KR, Ross JS, Schuur JD, Stauffer BD, Bernheim SM, Epstein AJ, Wang Y, Herrin J, Chen J, Federer JJ, Mattera JA, Wang Y, Krumholz HM, An administrative claims measure suitable for profiling hospital performance on the basis of 30-day all-cause readmission rates among patients with heart failure. Circ Cardiovasc Qual Outcomes 2008 1 29 37. doi: 10.1161/CIRCOUTCOMES.108.802686
-
(2008)
Circ Cardiovasc Qual Outcomes
, vol.1
, pp. 29-37
-
-
Keenan, P.S.1
Normand, S.L.2
Lin, Z.3
Drye, E.E.4
Bhat, K.R.5
Ross, J.S.6
Schuur, J.D.7
Stauffer, B.D.8
Bernheim, S.M.9
Epstein, A.J.10
Wang, Y.11
Herrin, J.12
Chen, J.13
Federer, J.J.14
Mattera, J.A.15
Wang, Y.16
Krumholz, H.M.17
-
3
-
-
63849134505
-
Rehospitalizations among patients in the Medicare fee-for-service program
-
Jencks SF, Williams MV, Coleman EA, Rehospitalizations among patients in the Medicare fee-for-service program. N Engl J Med 2009 360 1418 1428. doi: 10.1056/NEJMsa0803563
-
(2009)
N Engl J Med
, vol.360
, pp. 1418-1428
-
-
Jencks, S.F.1
Williams, M.V.2
Coleman, E.A.3
-
4
-
-
74049105740
-
Patterns of hospital performance in acute myocardial infarction and heart failure 30-day mortality and readmission
-
Krumholz HM, Merrill AR, Schone EM, Schreiner GC, Chen J, Bradley EH, Wang Y, Wang Y, Lin Z, Straube BM, Rapp MT, Normand SL, Drye EE, Patterns of hospital performance in acute myocardial infarction and heart failure 30-day mortality and readmission. Circ Cardiovasc Qual Outcomes 2009 2 407 413. doi: 10.1161/CIRCOUTCOMES.109.883256
-
(2009)
Circ Cardiovasc Qual Outcomes
, vol.2
, pp. 407-413
-
-
Krumholz, H.M.1
Merrill, A.R.2
Schone, E.M.3
Schreiner, G.C.4
Chen, J.5
Bradley, E.H.6
Wang, Y.7
Wang, Y.8
Lin, Z.9
Straube, B.M.10
Rapp, M.T.11
Normand, S.L.12
Drye, E.E.13
-
5
-
-
79959697118
-
An administrative claims measure suitable for profiling hospital performance based on 30-day all-cause readmission rates among patients with acute myocardial infarction
-
Krumholz HM, Lin Z, Drye EE, Desai MM, Han LF, Rapp MT, Mattera JA, Normand SL, An administrative claims measure suitable for profiling hospital performance based on 30-day all-cause readmission rates among patients with acute myocardial infarction. Circ Cardiovasc Qual Outcomes 2011 4 243 252. doi: 10.1161/CIRCOUTCOMES.110.957498
-
(2011)
Circ Cardiovasc Qual Outcomes
, vol.4
, pp. 243-252
-
-
Krumholz, H.M.1
Lin, Z.2
Drye, E.E.3
Desai, M.M.4
Han, L.F.5
Rapp, M.T.6
Mattera, J.A.7
Normand, S.L.8
-
6
-
-
79951699237
-
Thirty-day readmission rates for Medicare beneficiaries by race and site of care
-
Joynt KE, Orav EJ, Jha AK, Thirty-day readmission rates for Medicare beneficiaries by race and site of care. JAMA 2011 305 675 681. doi: 10.1001/jama.2011.123
-
(2011)
JAMA
, vol.305
, pp. 675-681
-
-
Joynt, K.E.1
Orav, E.J.2
Jha, A.K.3
-
7
-
-
84855179168
-
The relationship between hospital admission rates and rehospitalizations
-
Epstein AM, Jha AK, Orav EJ, The relationship between hospital admission rates and rehospitalizations. N Engl J Med 2011 365 2287 2295. doi: 10.1056/NEJMsa1101942
-
(2011)
N Engl J Med
, vol.365
, pp. 2287-2295
-
-
Epstein, A.M.1
Jha, A.K.2
Orav, E.J.3
-
8
-
-
84884179013
-
Variation in surgical-readmission rates and quality of hospital care
-
Tsai TC, Joynt KE, Orav EJ, Gawande AA, Jha AK, Variation in surgical-readmission rates and quality of hospital care. N Engl J Med 2013 369 1134 1142. doi: 10.1056/NEJMsa1303118
-
(2013)
N Engl J Med
, vol.369
, pp. 1134-1142
-
-
Tsai, T.C.1
Joynt, K.E.2
Orav, E.J.3
Gawande, A.A.4
Jha, A.K.5
-
9
-
-
84883211454
-
Identifying patients at increased risk for unplanned readmission
-
b013e3182a0f492
-
Bradley EH, Yakusheva O, Horwitz LI, Sipsma H, Fletcher J, Identifying patients at increased risk for unplanned readmission. Med Care 2013 51 761 766. doi: 10.1097/MLR.0b013e3182a0f492
-
(2013)
Med Care
, vol.51
, pp. 761-766
-
-
Bradley, E.H.1
Yakusheva, O.2
Horwitz, L.I.3
Sipsma, H.4
Fletcher, J.5
-
10
-
-
84894342491
-
Racial disparities in readmissions and site of care for major surgery
-
Girotti ME, Shih T, Revels S, Dimick JB, Racial disparities in readmissions and site of care for major surgery. J Am Coll Surg 2014 218 423 430. doi: 10.1016/j.jamcollsurg.2013.12.004
-
(2014)
J Am Coll Surg
, vol.218
, pp. 423-430
-
-
Girotti, M.E.1
Shih, T.2
Revels, S.3
Dimick, J.B.4
-
11
-
-
84858439975
-
-
Centers for Medicaid and Medicare Services Accessed August 1, 2015
-
Centers for Medicaid and Medicare Services Hospital Inpatient Quality Reporting Program. 2013. https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/HospitalQualityInits/HospitalRHQDAPU.html. Accessed August 1, 2015
-
(2013)
Hospital Inpatient Quality Reporting Program
-
-
-
12
-
-
84883713935
-
-
Centers for Medicaid and Medicare Services Accessed August 1, 2015
-
Centers for Medicaid and Medicare Services Readmissions Reduction Program. 2013. http://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Readmissions-Reduction-Program.html. Accessed August 1, 2015
-
(2013)
Readmissions Reduction Program
-
-
-
13
-
-
79551582915
-
Hospital readmission as an accountability measure
-
Axon RN, Williams MV, Hospital readmission as an accountability measure. JAMA 2011 305 504 505. doi: 10.1001/jama.2011.72
-
(2011)
JAMA
, vol.305
, pp. 504-505
-
-
Axon, R.N.1
Williams, M.V.2
-
14
-
-
84859526005
-
Thirty-day readmissions-Truth and consequences
-
Joynt KE, Jha AK, Thirty-day readmissions-Truth and consequences. N Engl J Med 2012 366 1366 1369. doi: 10.1056/NEJMp1201598
-
(2012)
N Engl J Med
, vol.366
, pp. 1366-1369
-
-
Joynt, K.E.1
Jha, A.K.2
-
15
-
-
84875544427
-
A path forward on Medicare readmissions
-
Joynt KE, Jha AK, A path forward on Medicare readmissions. N Engl J Med 2013 368 1175 1177. doi: 10.1056/NEJMp1300122
-
(2013)
N Engl J Med
, vol.368
, pp. 1175-1177
-
-
Joynt, K.E.1
Jha, A.K.2
-
16
-
-
84946489590
-
Unintended consequences of the hospital readmission reduction program
-
Hawn MT, Unintended consequences of the hospital readmission reduction program. Ann Surg 2015 261 1032 1033. doi: 10.1097/SLA.0000000000001150
-
(2015)
Ann Surg
, vol.261
, pp. 1032-1033
-
-
Hawn, M.T.1
-
17
-
-
1842498078
-
Statistical methods for profiling providers of Medical Care: Issues and applications
-
Normand S-LT, Glickman ME, Gatsonis CA, Statistical methods for profiling providers of Medical Care: issues and applications. J Am Stat Assoc 1997 92 803 814
-
(1997)
J Am Stat Assoc
, vol.92
, pp. 803-814
-
-
Normand, S.-L.1
Glickman, M.E.2
Gatsonis, C.A.3
-
18
-
-
84866311072
-
-
COPSS-CMS White Paper Committee COPSS-CMS White Paper Committee
-
Ash A, Fienberg S, Louis T, Normand S-LT, Stukel T, Utts J, COPSS-CMS White Paper Committee COPSS-CMS White Paper Committee Statistical issues in assessing hospital performance. 2012
-
(2012)
Statistical Issues in Assessing Hospital Performance
-
-
Ash, A.1
Fienberg, S.2
Louis, T.3
Normand, S.-L.4
Stukel, T.5
Utts, J.6
-
19
-
-
1542532754
-
A proportional hazards model for the subdistribution of a competing risk
-
Fine JP, Gray RJ, A proportional hazards model for the subdistribution of a competing risk. J Am Stat Assoc 1999 94 496 509
-
(1999)
J Am Stat Assoc
, vol.94
, pp. 496-509
-
-
Fine, J.P.1
Gray, R.J.2
-
20
-
-
15044348009
-
Regression modeling of competing risks data based on pseudovalues of the cumulative incidence function
-
341X.2005.031209.x
-
Klein JP, Andersen PK, Regression modeling of competing risks data based on pseudovalues of the cumulative incidence function. Biometrics 2005 61 223 229. doi: 10.1111/j.0006-341X.2005.031209.x
-
(2005)
Biometrics
, vol.61
, pp. 223-229
-
-
Klein, J.P.1
Andersen, P.K.2
-
21
-
-
34248397713
-
Tutorial in biostatistics: Competing risks and multi-state models
-
Putter H, Fiocco M, Geskus RB, Tutorial in biostatistics: competing risks and multi-state models. Stat Med 2007 26 2389 2430. doi: 10.1002/sim.2712
-
(2007)
Stat Med
, vol.26
, pp. 2389-2430
-
-
Putter, H.1
Fiocco, M.2
Geskus, R.B.3
-
22
-
-
84859842971
-
The use and interpretation of competing risks regression models
-
Dignam JJ, Zhang Q, Kocherginsky M, The use and interpretation of competing risks regression models. Clin Cancer Res 2012 18 2301 2308. doi: 10.1158/1078-0432.CCR-11-2097
-
(2012)
Clin Cancer Res
, vol.18
, pp. 2301-2308
-
-
Dignam, J.J.1
Zhang, Q.2
Kocherginsky, M.3
-
24
-
-
84920993754
-
Bayesian semi-parametric analysis of semi-competing risks data: Investigating hospital readmission after a pancreatic cancer diagnosis
-
Lee KH, Haneuse S, Schrag D, Dominici F, Bayesian semi-parametric analysis of semi-competing risks data: investigating hospital readmission after a pancreatic cancer diagnosis. J R Stat Soc Ser C Appl Stat 2015 64 253 273. doi: 10.1111/rssc.12078
-
(2015)
J R Stat Soc ser C Appl Stat
, vol.64
, pp. 253-273
-
-
Lee, K.H.1
Haneuse, S.2
Schrag, D.3
Dominici, F.4
-
25
-
-
33846839250
-
A missing data approach to semi-competing risks problems
-
Dignam JJ, Wieand K, Rathouz PJ, A missing data approach to semi-competing risks problems. Stat Med 2007 26 837 856. doi: 10.1002/sim.2582
-
(2007)
Stat Med
, vol.26
, pp. 837-856
-
-
Dignam, J.J.1
Wieand, K.2
Rathouz, P.J.3
-
26
-
-
34247185292
-
Regression modeling of semicompeting risks data
-
0420.2006.00621.x
-
Peng L, Fine JP, Regression modeling of semicompeting risks data. Biometrics 2007 63 96 108. doi: 10.1111/j.1541-0420.2006.00621.x
-
(2007)
Biometrics
, vol.63
, pp. 96-108
-
-
Peng, L.1
Fine, J.P.2
-
27
-
-
37849004104
-
Regression analysis based on semicompeting risks data
-
Hsieh JÄ Wang W, Adam Ding A, Regression analysis based on semicompeting risks data. J R Stat Soc Ser B 2008 70 3 20
-
(2008)
J R Stat Soc ser B
, vol.70
, pp. 3-20
-
-
Hsieh, J.1
Wang, W.2
Adam Ding, A.3
-
28
-
-
55949117992
-
Multi-state models for the analysis of time-To-event data
-
Meira-Machado L, de Uña-Alvarez J, Cadarso-Suárez C, Andersen PK, Multi-state models for the analysis of time-To-event data. Stat Methods Med Res 2009 18 195 222. doi: 10.1177/0962280208092301
-
(2009)
Stat Methods Med Res
, vol.18
, pp. 195-222
-
-
Meira-Machado, L.1
De Uña-Alvarez, J.2
Cadarso-Suárez, C.3
Andersen, P.K.4
-
29
-
-
77956798454
-
Statistical analysis of illness-death processes and semicompeting risks data
-
0420.2009.01340.x
-
Xu J, Kalbfleisch JD, Tai B, Statistical analysis of illness-death processes and semicompeting risks data. Biometrics 2010 66 716 725. doi: 10.1111/j.1541-0420.2009.01340.x
-
(2010)
Biometrics
, vol.66
, pp. 716-725
-
-
Xu, J.1
Kalbfleisch, J.D.2
Tai, B.3
-
30
-
-
78650786646
-
A semi-competing risks model for data with interval-censoring and informative observation: An application to the MRC cognitive function and ageing study
-
Barrett JK, Siannis F, Farewell VT, A semi-competing risks model for data with interval-censoring and informative observation: an application to the MRC cognitive function and ageing study. Stat Med 2011 30 1 10. doi: 10.1002/sim.4071
-
(2011)
Stat Med
, vol.30
, pp. 1-10
-
-
Barrett, J.K.1
Siannis, F.2
Farewell, V.T.3
-
31
-
-
84948416898
-
Bayesian inference for an illness-death model for stroke with cognition as a latent time-dependent risk factor
-
Van den Hout A, Fox JP, Klein Entink RH, Bayesian inference for an illness-death model for stroke with cognition as a latent time-dependent risk factor. Stat Methods Med Res 2015 24 769 787. doi: 10.1177/0962280211426359
-
(2015)
Stat Methods Med Res
, vol.24
, pp. 769-787
-
-
Van Den Hout, A.1
Fox, J.P.2
Klein Entink, R.H.3
-
32
-
-
84863237618
-
Estimating treatment effects with treatment switching via semicompeting risks models: An application to a colorectal cancer study
-
AMGEN RESEARCH GROUP AMGEN RESEARCH GROUP
-
Zeng D, Chen Q, Chen MH, Ibrahim JG, AMGEN RESEARCH GROUP AMGEN RESEARCH GROUP Estimating treatment effects with treatment switching via semicompeting risks models: an application to a colorectal cancer study. Biometrika 2012 99 167 184. doi: 10.1093/biomet/asr062
-
(2012)
Biometrika
, vol.99
, pp. 167-184
-
-
Zeng, D.1
Chen, Q.2
Chen, M.H.3
Ibrahim, J.G.4
-
33
-
-
84891902050
-
Bayesian gamma frailty models for survival data with semi-competing risks and treatment switching
-
Zhang Y, Chen MH, Ibrahim JG, Zeng D, Chen Q, Pan Z, Xue X, Bayesian gamma frailty models for survival data with semi-competing risks and treatment switching. Lifetime Data Anal 2014 20 76 105. doi: 10.1007/s10985-013-9254-8
-
(2014)
Lifetime Data Anal
, vol.20
, pp. 76-105
-
-
Zhang, Y.1
Chen, M.H.2
Ibrahim, J.G.3
Zeng, D.4
Chen, Q.5
Pan, Z.6
Xue, X.7
-
35
-
-
0003597030
-
-
Oxford, United Kingdom: Oxford University Press
-
Diggle P, Heagerty P, Liang K-Y, Zeger S, Analysis of Longitudinal Data 2002 Oxford, United Kingdom: Oxford University Press
-
(2002)
Analysis of Longitudinal Data
-
-
Diggle, P.1
Heagerty, P.2
Liang, K.-Y.3
Zeger, S.4
-
36
-
-
84873437062
-
Statistical considerations when using a composite endpoint for comparing treatment groups
-
Gómez G, Lagakos SW, Statistical considerations when using a composite endpoint for comparing treatment groups. Stat Med 2013 32 719 738. doi: 10.1002/sim.5547
-
(2013)
Stat Med
, vol.32
, pp. 719-738
-
-
Gómez, G.1
Lagakos, S.W.2
-
37
-
-
84876932638
-
A competing risks analysis should report results on all cause-specific hazards and cumulative incidence functions
-
Latouche A, Allignol A, Beyersmann J, Labopin M, Fine JP, A competing risks analysis should report results on all cause-specific hazards and cumulative incidence functions. J Clin Epidemiol 2013 66 648 653. doi: 10.1016/j.jclinepi.2012.09.017
-
(2013)
J Clin Epidemiol
, vol.66
, pp. 648-653
-
-
Latouche, A.1
Allignol, A.2
Beyersmann, J.3
Labopin, M.4
Fine, J.P.5
-
38
-
-
84863304598
-
-
R Development Core Team Vienna, Austria R Foundation for Statistical Computing
-
R Development Core Team R: A Language and Environment for Statistical Computing 2012 2014 Vienna, Austria R Foundation for Statistical Computing
-
(2014)
R: A Language and Environment for Statistical Computing 2012
-
-
-
39
-
-
84907319426
-
Asymptotic properties of maximum likelihood estimators and likelihood ratio tests under nonstandard conditions
-
Self SG, Liang K-Y, Asymptotic properties of maximum likelihood estimators and likelihood ratio tests under nonstandard conditions. J Am Stat Assoc 1987 82 605 610
-
(1987)
J Am Stat Assoc
, vol.82
, pp. 605-610
-
-
Self, S.G.1
Liang, K.-Y.2
-
40
-
-
84991627590
-
Hierarchical models for semi-competing risks data with application to quality of end-of-life care for pancreatic cancer
-
In press
-
Lee KH, Dominici F, Schrag D, Haneuse S, Hierarchical models for semi-competing risks data with application to quality of end-of-life care for pancreatic cancer. J Am Stat Assoc 2016. In press
-
(2016)
J Am Stat Assoc
-
-
Lee, K.H.1
Dominici, F.2
Schrag, D.3
Haneuse, S.4
-
41
-
-
84873675486
-
Relationship between hospital readmission and mortality rates for patients hospitalized with acute myocardial infarction, heart failure, or pneumonia
-
Krumholz HM, Lin Z, Keenan PS, Chen J, Ross JS, Drye EE, Bernheim SM, Wang Y, Bradley EH, Han LF, Normand SL, Relationship between hospital readmission and mortality rates for patients hospitalized with acute myocardial infarction, heart failure, or pneumonia. JAMA 2013 309 587 593. doi: 10.1001/jama.2013.333
-
(2013)
JAMA
, vol.309
, pp. 587-593
-
-
Krumholz, H.M.1
Lin, Z.2
Keenan, P.S.3
Chen, J.4
Ross, J.S.5
Drye, E.E.6
Bernheim, S.M.7
Wang, Y.8
Bradley, E.H.9
Han, L.F.10
Normand, S.L.11
-
42
-
-
4444292273
-
Risk adjustment of Medicare capitation payments using the CMS-HCC model
-
Pope GC, Kautter J, Ellis RP, Ash AS, Ayanian JZ, Lezzoni LI, Ingber MJ, Levy JM, Robst J, Risk adjustment of Medicare capitation payments using the CMS-HCC model. Health Care Financ Rev 2004 25 119 141
-
(2004)
Health Care Financ Rev
, vol.25
, pp. 119-141
-
-
Pope, G.C.1
Kautter, J.2
Ellis, R.P.3
Ash, A.S.4
Ayanian, J.Z.5
Lezzoni, L.I.6
Ingber, M.J.7
Levy, J.M.8
Robst, J.9
-
43
-
-
84863335452
-
Frailtypack: An R package for the analysis of correlated survival data with frailty models using penalized likelihood estimation or parametrical estimation
-
Rondeau V, Mazroui Y, Gonzalez JR, frailtypack: an R package for the analysis of correlated survival data with frailty models using penalized likelihood estimation or parametrical estimation. J Stat Softw 2012 47 1 28
-
(2012)
J Stat Softw
, vol.47
, pp. 1-28
-
-
Rondeau, V.1
Mazroui, Y.2
Gonzalez, J.R.3
-
45
-
-
0036660615
-
Marginal regression models for recurrent and terminal events
-
Ghosh D, Lin D, Marginal regression models for recurrent and terminal events. Stat Sin 2002 12 663 688
-
(2002)
Stat Sin
, vol.12
, pp. 663-688
-
-
Ghosh, D.1
Lin, D.2
-
46
-
-
55249104054
-
Bayesian semi parametric multi-state models
-
Kneib T, Hennerfeind A, Bayesian semi parametric multi-state models. Stat Modelling 2008 8 169 198
-
(2008)
Stat Modelling
, vol.8
, pp. 169-198
-
-
Kneib, T.1
Hennerfeind, A.2
-
47
-
-
33846188480
-
A multi-state model for joint modelling of terminal and non-Terminal events with application to Whitehall II
-
Siannis F, Farewell VT, Head J, A multi-state model for joint modelling of terminal and non-Terminal events with application to Whitehall II. Stat Med 2007 26 426 442. doi: 10.1002/sim.2342
-
(2007)
Stat Med
, vol.26
, pp. 426-442
-
-
Siannis, F.1
Farewell, V.T.2
Head, J.3
-
48
-
-
39849100688
-
Estimating survival and association in a semicompeting risks model
-
0420.2007.00872.x
-
Lakhal L, Rivest LP, Abdous B, Estimating survival and association in a semicompeting risks model. Biometrics 2008 64 180 188. doi: 10.1111/j.1541-0420.2007.00872.x
-
(2008)
Biometrics
, vol.64
, pp. 180-188
-
-
Lakhal, L.1
Rivest, L.P.2
Abdous, B.3
-
49
-
-
84855873449
-
Maximum likelihood analysis of semicompeting risks data with semiparametric regression models
-
Chen YH, Maximum likelihood analysis of semicompeting risks data with semiparametric regression models. Lifetime Data Anal 2012 18 36 57. doi: 10.1007/s10985-011-9202-4
-
(2012)
Lifetime Data Anal
, vol.18
, pp. 36-57
-
-
Chen, Y.H.1
-
50
-
-
1642359207
-
Estimation of causal effects via principal stratification when some outcomes are truncated by death
-
Zhang JL, Rubin DB, Estimation of causal effects via principal stratification when some outcomes are truncated by death. J Educ Behav Stat 2003 28 353 368
-
(2003)
J Educ Behav Stat
, vol.28
, pp. 353-368
-
-
Zhang, J.L.1
Rubin, D.B.2
-
51
-
-
84905578061
-
Identification and estimation of survivor average causal effects
-
Tchetgen Tchetgen EJ, Identification and estimation of survivor average causal effects. Stat Med 2014 33 3601 3628. doi: 10.1002/sim.6181
-
(2014)
Stat Med
, vol.33
, pp. 3601-3628
-
-
Tchetgen Tchetgen, E.J.1
|