The Use of Log-linear Analysis for Pregnancy Prediction

Milewska, Anna Justyna; Citko, Dorota; Jankowska, Dorota; Milewski, Rafał; Konończuk, Katarzyna; Więsak, Teresa; Morgan, Allen; Milewski, Robert

doi:10.2478/slgr-2018-0037

Cited by 5 publications

(5 citation statements)

References 10 publications

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“…Both examples presented above make it clear that, first of all, graphical representation of data is extremely important both in the course of biomedical research and at the stage of data presentation in scientific papers. Secondly, the selection of methods of presentation, similarly to the selection of the appropriate statistical tests (after testing the required assumptions) are absolutely essential in order to obtain true results, whereas lack of reliability in this area may dramatically change the results, thus leading to false conclusions drawn from the performed study [15][16].…”

Section: Figure 1 Comparison Of the Values Of A Variable Between Two ...mentioning

confidence: 99%

The Issue of Selection of Appropriate Methodology and Methods of Graphical Representation of Data in Biomedical Research

Milewski,

Roszak

2023

Studies in Logic, Grammar and Rhetoric

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The development of medicine is based on reliable medical research. This is a process that must be planned in detail and performed in accordance with the accepted study protocol, as any negligence – even a small one – or deviation from the protocol may result in distorted research results and – in consequence – to false conclusions. One of the key stages of research is the selection of the appropriate methodology, particularly in terms of tests that verify the posed hypotheses. Each statistical method has a set of assumptions that have to be met in order for the method to be used. This paper explains why the appropriate selection of methods, verification of the required assumptions, and correct graphical representation of the obtained results are so important from the practical perspective.

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Section: Figure 1 Comparison Of the Values Of A Variable Between Two ...mentioning

confidence: 99%

The Issue of Selection of Appropriate Methodology and Methods of Graphical Representation of Data in Biomedical Research

Milewski,

Roszak

2023

Studies in Logic, Grammar and Rhetoric

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“…Analytically, the log-linear model is defined as an expression of expected frequencies (μ ij ) in the form of a function of parameters that represent the characteristics of discrete variables and the interactions taking place between them. According to Milewska et al (2018), loglinear will choose the model with the lowest possible number of parameters. The model that is usually applied in the log-linear analysis is a saturated model, which includes model components.…”

Section: Formulation Of Log-linear Modelmentioning

confidence: 99%

“…Single simulation was chosen due to parallel simulation can lead to bad sector which will affect the final result (Kasihmuddin et al, 2019). In this study, we employed 95% confidence interval in the simulation where the value is ideally selected based on previous study by Milewska et al (2018). This dataset has no missing entries and must be represented in the form of binary.…”

Section: Data Analysis Setupmentioning

confidence: 99%

“…Numerous studies have employed the log-linear model to capture the behaviour of the medical data. Milewska et al (2018) proposed log-linear analysis to estimate the chance of pregnancy among couples who implemented Assisted Reproductive Technology (ART) insemination. The proposed model provided a promising interaction extraction that predicts the chance of achieving a clinical pregnancy.…”

Section: Introductionmentioning

confidence: 99%

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Modelling Benign Ovarian Cyst Risk Factors and Symptoms via Log-Linear Model

Jamaludin¹,

Ismail²,

Kasihmuddin³

et al. 2021

JST

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Ovarian cancer among women is known as “The Silent Killer”. It is caused by the malignant ovarian cyst, which can spread to other organs if it is not treated at an early stage. Some are benign ovarian cyst which can be treated through medical procedures such as laparoscopic and laparotomy. The type of medical procedure that the patients have to undergo depends on the size of cyst. A few risk factors that can cause benign ovarian cyst are age, pregnancy, menopause and menstrual cycle. Apart from that, there are a few symptoms of benign ovarian cyst which are fever, nausea and abdominal pain, abdominal distension, dysmenorrhea and intermenstrual bleeding. The association between these 12 discrete categorical data variables (factors, symptoms, treatment and size) are measured using the log-linear analysis in this study. According to the analysis, the patients who have large benign ovarian cyst need laparoscopic procedure, while those with smaller cyst need either laparotomy procedure or they do not have to undergo any surgery at all. Among all of the factors, menopause gives the highest risk factor of benign ovarian cyst, followed by age, pregnancy and menstrual cycle. Meanwhile, the interaction between nausea, abdominal pain and intermenstrual bleeding give the highest symptom rate to the benign ovarian cyst.

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“…Log-linear models offer a valuable systematic approach when analysing complex multi-dimensional contingency tables, allowing comparative analyses of differing effects between variables to be undertaken (Everitt, 1992). Log-linear models are a novel application in psychological therapy literature but are a more standard method in medical disciplines (see Helmy et al, 2010;Maimaris et al, 1994;Milewska et al, 2018). The model does not distinguish between dependent and independent variables and treats all variables as equal, thus making it possible to see which variables are associated with each other and which are not (Everitt, 1992).…”

Section: Data Analysesmentioning

confidence: 99%

Using technology to understand how therapist variables are associated with clinical outcomes in IAPT

Bateup

Palmer

Catarino

2020

tCBT

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The UK’s Improving Access to Psychological Therapy Programme (IAPT) has improved transparency of primary mental health care in relation to the mandatory reporting of clinical outcomes. However, the data reveal a significant variance in outcomes. These findings have led to a growing body of research investigating to what extent therapist variables account for the difference in clinical outcomes. Previous studies have not had access to sufficient recordings or transcripts of therapy sessions in order to fully address this question. The purpose of this study was to use therapy transcripts derived from internet enabled cognitive behavioural therapy (CBT) treatment sessions in order to investigate whether and how therapist variables are associated with clinical outcome. A hierarchical log-linear analysis examined the relationship between therapist/patient variables and clinical outcome. Therapist fidelity to the CBT model and associated adherence to an evidence-based protocol were significantly related to clinical outcome. A graphical representation of the statistical model suggests that patient recovery is directly linked with fidelity and indirectly with adherence, after adjusting for patient attributes of age, gender and clinical presentation. Corroborating previous research, therapist competence and adherence to an evidence-based treatment protocol appear to be important in improving outcomes. These findings have implications for the continuing professional development of qualified therapists, potentially reinforcing the importance of reducing therapist drift. Key learning aims (1) To develop an understanding in relation to which therapist variables are associated with clinical outcome in IAPT. (2) To reflect on how fidelity to the CBT model and adherence to evidence-based treatment protocols may affect clinical outcomes. (3) To exemplify use of a statistical method for enhanced visual understanding of complex multi-factorial data.

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The Use of Log-linear Analysis for Pregnancy Prediction

Cited by 5 publications

References 10 publications

The Issue of Selection of Appropriate Methodology and Methods of Graphical Representation of Data in Biomedical Research

The Issue of Selection of Appropriate Methodology and Methods of Graphical Representation of Data in Biomedical Research

Modelling Benign Ovarian Cyst Risk Factors and Symptoms via Log-Linear Model

Using technology to understand how therapist variables are associated with clinical outcomes in IAPT

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