Hasil Pencarian - Matthew Sperrin
- Menampilkan 1 - 20 hasil dari 33
- Ke Halaman Berikutnya
-
1
Multiple imputation with missing indicators as proxies for unmeasured variables: simulation study oleh Matthew Sperrin, Glen P. Martin
Diterbitkan 2020-07-01Dapatkan teks lengkap
Artikel -
2
-
3
Outcome-sensitive multiple imputation: a simulation study oleh Evangelos Kontopantelis, Ian R. White, Matthew Sperrin, Iain Buchan
Diterbitkan 2017-01-01Dapatkan teks lengkap
Artikel -
4
Dynamic models to predict health outcomes: current status and methodological challenges oleh David A. Jenkins, Matthew Sperrin, Glen P. Martin, Niels Peek
Diterbitkan 2018-12-01Dapatkan teks lengkap
Artikel -
5
-
6
-
7
A scoping review of causal methods enabling predictions under hypothetical interventions oleh Lijing Lin, Matthew Sperrin, David A. Jenkins, Glen P. Martin, Niels Peek
Diterbitkan 2021-02-01Dapatkan teks lengkap
Artikel -
8
-
9
-
10
-
11
Protocol for the development and validation of a Polypharmacy Assessment Score oleh Jung Yin Tsang, Matthew Sperrin, Thomas Blakeman, Rupert A. Payne, Darren M. Ashcroft
Diterbitkan 2024-07-01Dapatkan teks lengkap
Artikel -
12
-
13
When to reinvite initially ineligible populations for targeted lung cancer screening? oleh Matthew Sperrin, Haval Balata, Richard Booton, Philip A J Crosbie, Zoe Merchant, Patrick Goodley
Diterbitkan 2024-06-01Dapatkan teks lengkap
Artikel -
14
Healthcare utilisation in patients with long-term conditions during the COVID-19 pandemic: a population-based observational study of all patients across Greater Manchester, UK oleh Matthew Sperrin, Stuart W Grant, Richard Williams, Camilla Sammut-Powell, Owain Thomas, N Peek
Diterbitkan 2023-07-01Dapatkan teks lengkap
Artikel -
15
-
16
-
17
Implementation of a prealert to improve in-hospital treatment of anticoagulant-associated strokes: analysis of a prehospital pathway change in a large UK centralised acute stroke s... oleh Matthew Sperrin, Christopher Ashton, Camilla Sammut-Powell, Emily Birleson, Duncan Mayoh, Adrian R Parry-Jones
Diterbitkan 2020-06-01Dapatkan teks lengkap
Artikel -
18
-
19
Cohort Multiple Randomised Controlled Trials (cmRCT) design: efficient but biased? A simulation study to evaluate the feasibility of the Cluster cmRCT design oleh Alexander Pate, Jane Candlish, Matthew Sperrin, Tjeerd Pieter Van Staa, on behalf of GetReal Work Package 2
Diterbitkan 2016-08-01Dapatkan teks lengkap
Artikel -
20