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Items: 1 to 20 of 137

1.

Optimal treatment regimes for survival endpoints using a locally-efficient doubly-robust estimator from a classification perspective.

Bai X, Tsiatis AA, Lu W, Song R.

Lifetime Data Anal. 2016 Aug 1. [Epub ahead of print]

PMID:
27480339
2.

Properties of Estimators in Exponential Family Settings with Observation-based Stopping Rules.

Milanzi E, Molenberghs G, Alonso A, Kenward MG, Verbeke G, Tsiatis AA, Davidian M.

J Biom Biostat. 2016 Feb;7(1). pii: 272. Epub 2016 Jan 25.

PMID:
27175309
3.

Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy.

Laber EB, Zhao YQ, Regh T, Davidian M, Tsiatis A, Stanford JB, Zeng D, Song R, Kosorok MR.

Stat Med. 2016 Apr 15;35(8):1245-56. doi: 10.1002/sim.6783. Epub 2015 Oct 28.

4.

Estimation After a Group Sequential Trial.

Milanzi E, Molenberghs G, Alonso A, Kenward MG, Tsiatis AA, Davidian M, Verbeke G.

Stat Biosci. 2015 Oct;7(2):187-205. Epub 2014 Feb 22.

PMID:
26478751
5.

Use of Dried Capillary Blood Sampling for Islet Autoantibody Screening in Relatives: A Feasibility Study.

Bingley PJ, Rafkin LE, Matheson D, Steck AK, Yu L, Henderson C, Beam CA, Boulware DC; TrialNet Study Group.

Diabetes Technol Ther. 2015 Dec;17(12):867-71. doi: 10.1089/dia.2015.0133. Epub 2015 Sep 16.

PMID:
26375197
6.

Using decision lists to construct interpretable and parsimonious treatment regimes.

Zhang Y, Laber EB, Tsiatis A, Davidian M.

Biometrics. 2015 Dec;71(4):895-904. doi: 10.1111/biom.12354. Epub 2015 Jul 20.

7.

A log rank type test in observational survival studies with stratified sampling.

Bai X, Tsiatis AA.

Lifetime Data Anal. 2016 Apr;22(2):280-98. doi: 10.1007/s10985-015-9331-2. Epub 2015 May 30.

PMID:
26025499
8.

A 16-gene assay to predict recurrence after surgery in localised renal cell carcinoma: development and validation studies.

Rini B, Goddard A, Knezevic D, Maddala T, Zhou M, Aydin H, Campbell S, Elson P, Koscielny S, Lopatin M, Svedman C, Martini JF, Williams JA, Verkarre V, Radulescu C, Neuzillet Y, Hemmerlé I, Timsit MO, Tsiatis AC, Bonham M, Lebret T, Mejean A, Escudier B.

Lancet Oncol. 2015 Jun;16(6):676-85. doi: 10.1016/S1470-2045(15)70167-1. Epub 2015 May 12.

PMID:
25979595
9.

Development and validation of a risk score for chronic kidney disease in HIV infection using prospective cohort data from the D:A:D study.

Mocroft A, Lundgren JD, Ross M, Law M, Reiss P, Kirk O, Smith C, Wentworth D, Neuhaus J, Fux CA, Moranne O, Morlat P, Johnson MA, Ryom L; D:A:D study group; Royal Free Hospital Clinic Cohort; INSIGHT study group; SMART study group; ESPRIT study group.

PLoS Med. 2015 Mar 31;12(3):e1001809. doi: 10.1371/journal.pmed.1001809. eCollection 2015 Mar.

10.

The development and utility of a novel scale that quantifies the glycemic progression toward type 1 diabetes over 6 months.

Sosenko JM, Skyler JS, Beam CA, Boulware D, Mahon JL, Krischer JP, Greenbaum CJ, Rafkin LE, Matheson D, Herold KC, Palmer JP; Type 1 Diabetes TrialNet and Diabetes Prevention Trial–Type 1 Study Groups.

Diabetes Care. 2015 May;38(5):940-2. doi: 10.2337/dc14-2787. Epub 2015 Mar 10.

11.

Q- and A-learning Methods for Estimating Optimal Dynamic Treatment Regimes.

Schulte PJ, Tsiatis AA, Laber EB, Davidian M.

Stat Sci. 2014 Nov;29(4):640-661.

12.

A new approach for diagnosing type 1 diabetes in autoantibody-positive individuals based on prediction and natural history.

Sosenko JM, Skyler JS, DiMeglio LA, Beam CA, Krischer JP, Greenbaum CJ, Boulware D, Rafkin LE, Matheson D, Herold KC, Mahon J, Palmer JP; Type 1 Diabetes TrialNet Study Group; Diabetes Prevention Trial-Type 1 Study Group.

Diabetes Care. 2015 Feb;38(2):271-6. doi: 10.2337/dc14-1813. Epub 2014 Dec 17.

13.

A Biopsy-based 17-gene Genomic Prostate Score Predicts Recurrence After Radical Prostatectomy and Adverse Surgical Pathology in a Racially Diverse Population of Men with Clinically Low- and Intermediate-risk Prostate Cancer.

Cullen J, Rosner IL, Brand TC, Zhang N, Tsiatis AC, Moncur J, Ali A, Chen Y, Knezevic D, Maddala T, Lawrence HJ, Febbo PG, Srivastava S, Sesterhenn IA, McLeod DG.

Eur Urol. 2015 Jul;68(1):123-31. doi: 10.1016/j.eururo.2014.11.030. Epub 2014 Nov 29.

14.

Response to reader reaction.

Zhang B, Tsiatis AA, Laber EB, Davidian M.

Biometrics. 2015 Mar;71(1):271-3. doi: 10.1111/biom.12229. Epub 2014 Oct 29. No abstract available.

15.

Discussion of "Combining biomarkers to optimize patient treatment recommendation".

Laber EB, Tsiatis AA, Davidian M, Holloway ST.

Biometrics. 2014 Sep;70(3):707-10. doi: 10.1111/biom.12187. Epub 2014 Jun 2. No abstract available.

16.

Severity of cardiovascular disease outcomes among patients with HIV is related to markers of inflammation and coagulation.

Nordell AD, McKenna M, Borges ÁH, Duprez D, Neuhaus J, Neaton JD; INSIGHT SMART, ESPRIT Study Groups; SILCAAT Scientific Committee.

J Am Heart Assoc. 2014 May 28;3(3):e000844. doi: 10.1161/JAHA.114.000844.

17.

A 17-gene assay to predict prostate cancer aggressiveness in the context of Gleason grade heterogeneity, tumor multifocality, and biopsy undersampling.

Klein EA, Cooperberg MR, Magi-Galluzzi C, Simko JP, Falzarano SM, Maddala T, Chan JM, Li J, Cowan JE, Tsiatis AC, Cherbavaz DB, Pelham RJ, Tenggara-Hunter I, Baehner FL, Knezevic D, Febbo PG, Shak S, Kattan MW, Lee M, Carroll PR.

Eur Urol. 2014 Sep;66(3):550-60. doi: 10.1016/j.eururo.2014.05.004. Epub 2014 May 16.

PMID:
24836057
18.
19.

Factors associated with D-dimer levels in HIV-infected individuals.

Borges AH, O'Connor JL, Phillips AN, Baker JV, Vjecha MJ, Losso MH, Klinker H, Lopardo G, Williams I, Lundgren JD; INSIGHT SMART Study Group; ESPRIT Study Group; SILCAAT Scientific Committee.

PLoS One. 2014 Mar 13;9(3):e90978. doi: 10.1371/journal.pone.0090978. eCollection 2014.

20.

Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions.

Zhang B, Tsiatis AA, Laber EB, Davidian M.

Biometrika. 2013;100(3). doi: 10.1093/biomet/ast014.

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