An application of a pattern-mixture model with multiple imputation for the analysis of longitudinal trials with protocol deviations

Iddrisu, Abdul-Karim; Gumedze, Freedom

doi:10.1186/s12874-018-0639-y

Cited by 17 publications

(21 citation statements)

References 25 publications

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“…The study used child mortality records data from the 2014 Ghana Demographic and Health Survey (2014GDHS). The data used for the analyses in this paper consist of 5884 complete cases [ 29 – 31 ] with 7 potential risk factors of child mortality. Analyses in this paper were carried out using the STATA software.…”

Section: Discussionmentioning

confidence: 99%

“…The first limitation of the study is that the authors were unable to adjust for potential risk factors that were not collected during the data collection process since the authors used secondary data. Second, the study could not utilize most risk factors because they have most of their values missing [ 29 – 31 ]. Third, because this study receives no funding, the authors were unable to raise funds for the collection of data on potential risk factors that were not considered during the survey or considered during the survey but could not be used because they have almost all their values missing.…”

Section: Discussionmentioning

confidence: 99%

“…Future studies should consider the use of primary data to allow for the collection of data on these variables and other important variables that were not considered during the survey. Also, future studies should employ sophisticated data management approaches for the imputation of missing data values to obtain a complete dataset [ 29 ] before statistical models are applied. Future studies can also consider models that account for missing values in the modelling process.…”

Section: Discussionmentioning

confidence: 99%

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Frequentist and Bayesian Regression Approaches for Determining Risk Factors of Child Mortality in Ghana

Iddrisu

Tawiah

Bukari

et al. 2020

BioMed Research International

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Background. Child mortality is a global health problem. The United Nations’ 2018 report on levels and trends on child mortality indicated that under-five mortality is one of the major public health problems in Ghana with a rate of 60 deaths per 1000 live births. To further mitigate this problem, it is important to identify the drivers of under-five mortality in order to achieve the United Nations SDG Goal 3 target 2. Methods. In this study, we investigated the effects of some selected risk factors on child mortality using data from the 2014 Ghana Demographic Health Survey. We modelled the relationship between child mortality and the risk factors using a logistic regression model under the frequentist and Bayesian frameworks. We used the Metropolis-Hastings Algorithm to simulate parameter estimates from the posterior distributions, and statistical analyses were carried out using STATA version 14.1. Results. Results from the frequentist framework are in line with those from the Bayesian framework. The results showed an increased risk of death among children who were delivered through caesarean and reduced relative odds of death among children whose sizes are average or large at birth and whose mothers have formal education. Conclusions. There is a need for improved health facilities for better health-care for mothers and children. Education should, among other things, emphasise on the need for mothers to go for regular check-ups during antinatal and postnatal periods for improved mother and child health.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Frequentist and Bayesian Regression Approaches for Determining Risk Factors of Child Mortality in Ghana

Iddrisu

Tawiah

Bukari

et al. 2020

BioMed Research International

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“…The analyses in this paper then adjusted for risk factors of HIV testing in order to identify significant determinants of one's decision to ever test for HIV. However, the analyses in this paper are based on 1,757 persons since some of the risk factors of HIV testing have missing values [19] [20]. Ethical approval and consent to participate statements can be found on:…”

Section: Study Setting and Data Sourcementioning

confidence: 99%

HIV Testing Decision and Determining Factors in Ghana

Iddrisu¹,

Opoku-Ameyaw²,

Bukari³

et al. 2019

WJA

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Knowledge on individual's HIV/AIDS status provides a tool to reduce or avoid HIV transmission, spread and mortalities due to HIV-related illness. However, most people still do not know their HIV status because they are not willing to test for HIV/AIDS due to various reasons. Hence the aim of this paper is to investigate the effects of various risk factors that are likely to influence decision to ever test for HIV/AIDS. The data used in this paper were obtained from the Ghana Demographic and Health Survey (n = 1828 observations and 32 risk factors). We applied the Chi-Square test statistic and the logistic regression model to the data in order to study the effects of these risk factors on one's decision to ever test for HIV. STATA version 14.1 and R version 3.5.2 were used to carry out the statistical analyses. Generally, the results show that education, especially higher education significantly (OR = 0.53, 95% = 0.230, 0.837) increases the likelihood to ever test for HIV. Also, the younger the age groups the higher the effect and significance in the likelihood to ever test for HIV. We found that HIV-TB co-infection (OR = 0.53, 95% = 0.165, 0.893), use of condom anytime one has sex (OR = 0.31, 95% = 0.054, 0.573), wealth index (OR = 0.46, 95% = 0.137, 0.791), awareness of HIV transmission during child-delivery, number of partners significantly affect HIV testing. Those with many partners are less likely (OR = −0.26, 95% = −0.504, −0.007) to ever test for HIV and those who know that healthy person may have HIV are more likely (OR = 0.41, 95% = 0.137, 0.679) to ever test for HIV. Age is the common significant risk factor of ever tested for HIV across the 10 regions in Ghana. Resources should be allocated for more education on these significant risk factors in order to help in the fight against HIV-Health related issues.

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“…In this study, we focused on individual birth record data, obtained from the respondents during the survey. We observed that some of the individual records have missing values [15][16][17], and hence, analyses were restricted to only the complete cases [17]. The complete data consist of 6,525 individuals who provided responses on how long it takes for them to give birth to their first child after marriage.…”

Section: Study Setting and Datamentioning

confidence: 99%

Factors That Determine the Likelihood of Giving Birth to the First Child within 10 Months after Marriage

Iddrisu

Bukari

Opoku-Ameyaw

et al. 2020

Journal of Pregnancy

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Background. One of the major aims of marriage is to procreate or give birth to a child. Childbirth is so crucial in marriage that it often determines the happiness of the couple. Too much delay in childbirth after marriage or the likelihood that one cannot give birth after marriage can lead to divorce. However, causes of delay in childbirth are often difficult to detect by both the Gynaecologist and the couple involved. This makes proposing solutions to issues related to childbirth usually unsuccessful. Methods. It is against this background that we conducted this study to identify factors that determine childbirth within 10 months or after 10 months of marriage (birth length) among women in Ghana. This was achieved by using a logistic regression model for the dichotomous birth length variable, adjusting for risk factors/predictors of birth length. The data used for the study were obtained from the 2014 Ghana Demographic and Health Survey, consisting 6,525 complete cases with 18 predictor variables. Statistical analyses were carried out using STATA version 14.1. Results. The results show that respondents who have ever terminated pregnancy are more likely (OR=0.178, 95%CI=0.044, 0.312) to deliver after 10 months, wives whose husbands have higher education are less likely (OR=‐0.162, 95%CI=‐0.236, ‐0.088) to give birth after 10 months of marriage, wives who reported that beating is justified if she goes out without her husband’s notice are more likely (OR=0.466, 95%CI=0.305, 0.628) to give birth after 10 months, wives who reported that beating is justified if she neglects the child are more likely (OR=‐0.305, 95%CI=‐0.461, ‐0.149) to give birth within 10 months, and wives who reported that beating is justified when she argues with her husband are less likely (OR=‐0.301, 95%CI=‐0.451, ‐0.152) to give birth after 10 months of marriage. Every unit increase in the age of the respondent at marriage increases the likelihood of giving birth after 10 months of marriage, and a unit increase in the age of the respondent at first sex decreases the likelihood of giving birth after 10 months in marriage. Conclusions. For conception within 1 month of marriage, wives and husbands should/are encouraged to have frequent sex, any negative social behaviour or policies must be discouraged, experts’ advice on contraceptive use must be sought, and women are encouraged to desist from termination of pregnancy at any time of their life. Husbands should openly express their desire and love for their children since this increases the likelihood of wives’ desire to give birth. This leads to frequent sex, which then reduces conception time, and hence childbirth within the shortest possible time.

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An application of a pattern-mixture model with multiple imputation for the analysis of longitudinal trials with protocol deviations

Cited by 17 publications

References 25 publications

Frequentist and Bayesian Regression Approaches for Determining Risk Factors of Child Mortality in Ghana

Frequentist and Bayesian Regression Approaches for Determining Risk Factors of Child Mortality in Ghana

HIV Testing Decision and Determining Factors in Ghana

Factors That Determine the Likelihood of Giving Birth to the First Child within 10 Months after Marriage

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