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Assessing Headache Triggers: A Practical Guide for Applied Research and Clinical Management

Turner, Dana P

1st ed. 2021., 2021

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Stress and sleep duration predict headache severity in chronic headache sufferers

Pain (Amsterdam), 2012-12, Vol.153 (12), p.2432-2440

2012

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Statistical Hypothesis Testing: Overview and Application

Headache, 2020-02, Vol.60 (2), p.302-308

2020

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Common challenges in the development of prediction models

Headache, 2023-05, Vol.63 (5), p.569-570

2023

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Sampling Methods in Research Design

Headache, 2020-01, Vol.60 (1), p.8-12

Turner, Dana P.

2020

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Essential but often overlooked reporting elements for Headache manuscripts

Headache, 2022-10, Vol.62 (9), p.1067-1070

Turner, Dana P.

2022

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Experimental Study Designs

Headache, 2020-09, Vol.60 (8), p.1501-1507

Turner, Dana P.

2020

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P‐Hacking in Headache Research

Headache, 2018-02, Vol.58 (2), p.196-198

Turner, Dana P.

2018

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Pain medication beliefs in individuals with headache

Headache, 2024-04, Vol.64 (4), p.390-399

2024

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Perceived triggers of primary headache disorders: A meta-analysis

Cephalalgia, 2018-05, Vol.38 (6), p.1188-1198

2018

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Learning headache triggers through experience: A laboratory study

Headache, 2023-06, Vol.63 (6), p.721-729

2023

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A Conceptual Introduction to Regression

Headache, 2020-06, Vol.60 (6), p.1047-1055

2020

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Clinical features of new daily persistent headache: A retrospective chart review of 328 cases

Headache, 2021-11, Vol.61 (10), p.1529-1538

2021

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Overview of Common Statistical Tests and their Assumptions

Headache, 2020-05, Vol.60 (5), p.826-832

2020

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Information theory and headache triggers

Headache, 2023-07, Vol.63 (7), p.899-907

2023

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To test or not to test? Do red flags play any role?

Headache, 2022-04, Vol.62 (4), p.399-400

2022

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Sentiment analysis of real-world migraine tweets for population research

Cephalalgia reports, 2020, Vol.3, p.251581631989886

2020

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Observational Study Designs

Headache, 2019-07, Vol.59 (7), p.981-987

2019

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The Importance of Statistical Power Calculations

Headache, 2018-09, Vol.58 (8), p.1187-1191

2018

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Conducting and Reporting Descriptive Statistics

Headache, 2019-03, Vol.59 (3), p.300-305

2019

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Bayesian Approaches to Statistical Inferences

Headache, 2020-10, Vol.60 (9), p.1879-1885

2020

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Continuous updating of individual headache forecasting models using Bayesian methods

Headache, 2021-09, Vol.61 (8), p.1264-1273

2021

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Influences on headache trigger beliefs and perceptions

Cephalalgia, 2018-08, Vol.38 (9), p.1545-1553

2018

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Reporting heterogeneity of treatment effects

Headache, 2021-03, Vol.61 (3), p.407-408

2021

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Assessing and Interpreting Reliability

Headache, 2019-05, Vol.59 (5), p.653-658

2019

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Assessing Headache Triggers: A Practical Guide for Applied Research and Clinical Management

Stress and sleep duration predict headache severity in chronic headache sufferers

Statistical Hypothesis Testing: Overview and Application

Common challenges in the development of prediction models

Sampling Methods in Research Design

Essential but often overlooked reporting elements for Headache manuscripts

Experimental Study Designs

P‐Hacking in Headache Research

Pain medication beliefs in individuals with headache

Perceived triggers of primary headache disorders: A meta-analysis

Learning headache triggers through experience: A laboratory study

A Conceptual Introduction to Regression

Clinical features of new daily persistent headache: A retrospective chart review of 328 cases

Overview of Common Statistical Tests and their Assumptions

Information theory and headache triggers

To test or not to test? Do red flags play any role?

Sentiment analysis of real-world migraine tweets for population research

Observational Study Designs

The Importance of Statistical Power Calculations

Conducting and Reporting Descriptive Statistics

Bayesian Approaches to Statistical Inferences

Continuous updating of individual headache forecasting models using Bayesian methods

Influences on headache trigger beliefs and perceptions

Reporting heterogeneity of treatment effects

Assessing and Interpreting Reliability

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