Kadziola Z[au] - Search Results

Year	Number of Results
1996	1
1997	1
1998	4
1999	4
2000	6
2002	4
2003	4
2004	1
2011	2
2013	2
2014	8
2015	2
2016	2
2017	1
2018	1
2019	1
2020	4
2021	2
2022	4
2023	0

1

Type 2 diabetes pharmacotherapy trends in high-risk subgroups.

Bae J, Liu D, Chinthammit C, Kadziola Z, Boye K, Mather K. Bae J, et al. Among authors: kadziola z. Diabetes Obes Metab. 2022 Jun;24(6):1166-1171. doi: 10.1111/dom.14678. Epub 2022 Mar 22. Diabetes Obes Metab. 2022. PMID: 35243741 Free PMC article.

2

Evaluating bias control strategies in observational studies using frequentist model averaging.

Zagar A, Kadziola Z, Lipkovich I, Madigan D, Faries D. Zagar A, et al. Among authors: kadziola z. J Biopharm Stat. 2022 Mar;32(2):247-276. doi: 10.1080/10543406.2021.1998095. Epub 2022 Feb 25. J Biopharm Stat. 2022. PMID: 35213288

3

Practical recommendations on double score matching for estimating causal effects.

Zhang Y, Yang S, Ye W, Faries DE, Lipkovich I, Kadziola Z. Zhang Y, et al. Among authors: kadziola z. Stat Med. 2022 Apr 15;41(8):1421-1445. doi: 10.1002/sim.9289. Epub 2021 Dec 26. Stat Med. 2022. PMID: 34957585 Free PMC article.

4

Multilevel network meta-regression for population-adjusted treatment comparisons.

Phillippo DM, Dias S, Ades AE, Belger M, Brnabic A, Schacht A, Saure D, Kadziola Z, Welton NJ. Phillippo DM, et al. Among authors: kadziola z. J R Stat Soc Ser A Stat Soc. 2020 Jun;183(3):1189-1210. doi: 10.1111/rssa.12579. Epub 2020 Jun 7. J R Stat Soc Ser A Stat Soc. 2020. PMID: 32684669 Free PMC article.

5

An Early Assessment of the Real-World Treatment Patterns of Type 2 Diabetes: A Comparison to the 2018 ADA/EASD Consensus Report Recommendations.

Bae JP, Kadziola ZA, Liu D, Chinthammit C, Boye KS, Mather KJ. Bae JP, et al. Among authors: kadziola za. Diabetes Ther. 2022 Aug;13(8):1499-1510. doi: 10.1007/s13300-022-01289-x. Epub 2022 Jun 29. Diabetes Ther. 2022. PMID: 35764911 Free PMC article.

6

Predicting optimal treatment regimens for patients with HR+/HER2- breast cancer using machine learning based on electronic health records.

Cui ZL, Kadziola Z, Lipkovich I, Faries DE, Sheffield KM, Carter GC. Cui ZL, et al. Among authors: kadziola z. J Comp Eff Res. 2021 Jun;10(9):777-795. doi: 10.2217/cer-2020-0230. Epub 2021 May 13. J Comp Eff Res. 2021. PMID: 33980048 Free article.

7

Propensity Score Matching and Subclassification With Multi-Level Treatments.

Kadziola Z, Yang S, Imbens GW, Cui Z, Faries DE. Kadziola Z, et al. Value Health. 2014 Nov;17(7):A587. doi: 10.1016/j.jval.2014.08.2002. Epub 2014 Oct 26. Value Health. 2014. PMID: 27201997 Free article. No abstract available.

8

Evaluating different strategies for estimating treatment effects in observational studies.

Zagar AJ, Kadziola Z, Lipkovich I, Faries DE. Zagar AJ, et al. Among authors: kadziola z. J Biopharm Stat. 2017;27(3):535-553. doi: 10.1080/10543406.2017.1289953. Epub 2017 Feb 7. J Biopharm Stat. 2017. PMID: 28282261

9

Propensity score matching and subclassification in observational studies with multi-level treatments.

Yang S, Imbens GW, Cui Z, Faries DE, Kadziola Z. Yang S, et al. Among authors: kadziola z. Biometrics. 2016 Dec;72(4):1055-1065. doi: 10.1111/biom.12505. Epub 2016 Mar 17. Biometrics. 2016. PMID: 26991040

10

Assessing Heterogeneity of Treatment Effect Using Real World Data.

Murray JF, Kadziola Z, Zagar A. Murray JF, et al. Among authors: kadziola z. Value Health. 2014 Nov;17(7):A585. doi: 10.1016/j.jval.2014.08.1992. Epub 2014 Oct 26. Value Health. 2014. PMID: 27201988 Free article. No abstract available.

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