Statistical Analysis & Visualization for Paediatric Study

@SolutionMart

Paediatric perioperative fasting audits require careful statistical handling, particularly when describing prolonged fasting outcomes across heterogeneous parent and clinical subgroups. This analysis demands precise descriptive statistics selection, appropriate Likert-scale treatment, and logistic regression modeling to identify adherence barriers. The data structure supports multivariable analysis. With parent survey responses linked to EMR outcomes, logistic regression remains valid for examining prolonged fasting (>6 hours) against predictor variables like conflicting instructions, poor understanding, and admission type. Sample size adequacy can be assessed using standard rules of thumb for events per variable. Missing data requires evaluation through Little's MCAR test, informing imputation strategy selection. Deliverables include descriptive statistics tables (means/medians with appropriate dispersal measures), categorical variable summaries with proportions, Likert-scale handling via ordinal or summated approaches, unadjusted and adjusted logistic regression models with 95% CIs, publication-ready figures showing fasting duration distributions and communication factor associations, and complete R/SPSS code with reproducibility documentation. Manuscript-ready output includes results tables formatted for submission, guidance on effect size interpretation, and assumptions testing documentation for peer review.

@ShaikhAneesa

Hi there, I understand you need a robust statistical framework to analyze the barriers to Sip-Til-Send (STS) adherence, specifically focusing on identifying why pediatric patients experience prolonged clear fluid fasting beyond six hours. My approach is to establish a clear data analysis plan that balances clinical significance with statistical rigor. For descriptive data, I will help you determine the most representative measures; for example, clear fluid fasting duration is often right-skewed, making the median and interquartile range (IQR) more appropriate than the mean. For your Likert-scale survey data, we can treat these as ordinal variables or collapse them into binary categories (e.g., "High Confidence" vs. "Low Confidence") to strengthen the power of your association tests. Before we dive into the modeling, could you share your current sample size and the approximate percentage of patients who fell into the "prolonged fasting" category? I’m ready to help you translate this audit data into a high-quality clinical manuscript. Warm Regards, Aneesa.

@HelpingHut

Paediatric perioperative fasting studies typically encounter three critical statistical challenges: determining whether parametric assumptions hold for continuous outcomes like fasting duration, appropriately handling ordinal Likert responses without treating them as interval data, and managing sample size constraints for multivariable modeling. This analysis requires careful selection between descriptive approaches. Median and interquartile ranges suit skewed fasting duration data; categorical variables need frequency tables with proportions. Likert responses should be analyzed via ordinal methods or aggregated conservatively rather than averaged. Logistic regression for prolonged fasting (>6 hours) is viable with adequate outcome events—typically 10-15 events per predictor minimum. The workflow involves: descriptive statistics stratified by key groupings, handling missing data through sensitivity analyses, variable selection via univariable screening with clinical judgment, then logistic regression with diagnostics. Publication-quality tables and figures follow journal guidelines, with clear communication of assumptions tested. Deliverable includes annotated statistical code (SPSS/R), interpretation guidance for clinical significance, and manuscript-ready tables addressing your seven predictor variables and outcome domains.

@WycOj

As a versatile and experienced data professional, I am uniquely skilled to complete your paediatric study with statistical analysis and visualization. Over the past 7 years, I have conducted numerous medical data analyses which include themes related to yours such as Likert-scale survey responses, missing data handling, and variable selection. I have a comprehensive understanding of the most apt descriptive statistics methods for categorical variables and offer keen insights into graphical representations for clear data interpretation. In terms of statistical analysis, my skills stretch far beyond simply computing means and medians; I've worked with parametric and non-parametric tests, logistic regressions, and multivariable . On top of that, my skills in data visualization are particularly valuable here. Equipped with Tableau, Power Bi, R, Python(seaborn/matplotlib), I'm adept at creating figures/tables to suit any publication format. Finally, regarding your dataset wrangling aspect, my expertise extends through all stages of the process from cleaning to coding ensuring the integrity of your data is upheld in all analytical decisions. My profile demonstrates years worth of satisfied clients underpinned by quality work delivered within schedule - this project would be no exception. Let's collaborate and give impactful substance to your important research!

@mehmoodfaisal61

Hello, I hope you are doing well. I hold a master's degree in Statistics from a renowned university. I am a well experienced statistician. I have good command over popular statistical software i.e., Excel, SPSS, RStudio, Jamovi, and Stata (please visit my profile to check reviews for my past projects). I have vast experience in applying statistical techniques in medical field, I can help you with this project. Please feel free to ask me, if you have any queries.

@saba106

I am an expert statistician, Research Writer, and data analyst with more than eight years of experience. I have full command of Excel analysis, SPSS, STATA, R LANGUAGE, AND PYTHON. I am an expert in creating time series prediction models, working with survey data, conducting marketing analysis, building estimators, and medical analysis. I am a perfect match for your project share other details of the work so I can start working on your project. Will complete task on time.

@letsgetstarted12

I’m happy that I have your attention, even if it’s only for a little while, so I won’t waste your time…let’s get into it. I checked out the project info and I am excited to help you with your SPSS! Do you have data from a survey, scientific study and it needs to be analysed and interpreted pronto or you're just not confident enough in your report? I will analyze your data and provide detailed interpretation and write a report accordingly. The analysis will be done with the Statistical package for social science (SPSS) or Stata as you want it done. I'll do descriptive analysis and inferential analysis. I can provide an analysis report that includes: 1- Methods and statistical tests used 2- Statistical analysis (Descriptive, Inferential) of your data. 3- Tables and Figures to summarize analysis results I’ll provide the raw SPSS output for the analysis and also word document will be delivered. This will contain the interpretation of the analysis which ranges from univariate (frequency, chart, and percentage) and inferential analysis ( Bivariate e.g Chi-square, regression, correlation, t-test. Multivariate e.g Binary logistic regression, factor analysis, discriminant analysis etc). Please get in touch for a chat about your needs, so I can work with you to gain you maximum exposure! Just initiate a small chat so that we can discuss the details of the project and provide you with an exact quote with a timeline. Regards, Sunanda

@khaliduom103

‎Hi i am an experienced python/Matlab developer with PhD in applied mathematics and data analyst.I can help you Matlab/python coding, optimization, numerical analysis،simulation and data analysis. ‎

@alizain721

I read this as two linked problems: accurately describing skewed fasting times and testing whether communication factors predict prolonged clear fluid fasting (>6 hours). The trick is handling skew, survey ordinal data, and limited events while keeping results clear for a manuscript. If durations are skewed I would present medians and IQRs and use density plots or cumulative distribution plots; categorical STS adherence and parent outcomes need proportions with bar charts. Treat Likert items as ordinal for trend tests or collapse to meaningful categories for clarity. Logistic regression is fine for associations if you have enough prolonged-fasting events; if events per predictor are low I’ll use Firth or penalized regression and bootstrapped CIs. For missing data I prefer multiple imputation with sensitivity analyses. Variable selection should be theory-driven first, then LASSO if many candidates. I will deliver publication-ready tables (baseline, adjusted models) and figures (distribution, forest plot). I recently led analysis of a paediatric perioperative audit linking parent surveys to EMR and produced the manuscript figures and regression models. Can you share the sample size and number of prolonged-fasting events or a deidentified sample/codebook, and do you prefer R or Python for code and deliverables?

@nareshk44

As an experienced researcher and academic writer, I have spent more than 5 years focused on data analysis and visualization, precisely what your project calls for. To this end, I have worked on range diverse topics, which has granted me an ample view of the most effective ways to handle variables, interpret results and choose suitable graphical representation tools among others. Regarding your request for guidance in handling of Likert-scale survey responses, I have a solid background in both qualitative and quantitative methods of data analysis, including the design and interpretation of surveys. Missing data is a common challenge in medical studies and my proficiency in statistical analysis extends to approaches that minimize the impact of missing data while avoiding any potential biases. In summary, with my excellent research and writing abilities, experience in pediatric studies and statistical analysis know-how, I'm confident I can effectively address all your project needs. Beyond just carrying out the necessary analysis, I will also ensure that your results are presented to the highest standards for manuscript preparation. Don't hesitate to invite me to this job - together we'll optimize your data into powerful insights for impactful storytelling! "Choose Naresh- where quality meets expertise".

@slavkom1

Hi, thanks for sharing the details of your paediatric fasting study. The mix of parent surveys and EMR data is clear, and the focus on prolonged fasting and communication factors makes sense. I’ve worked with similar clinical datasets and mixed survey‑clinical workflows. I can help by keeping things straightforward: - define summaries for continuous variables using median/IQR or mean/SD based on distributions - choose categorical formats that read cleanly in a manuscript - handle Likert responses consistently - test associations with simple models first, then check if logistic regression is stable with your sample size - review predictors and missingness before building figures and tables I can start as soon as you share the raw structure of both datasets. What is the approximate sample size for both the survey and EMR datasets so we can judge model stability? Regards, Slavko

@KhudaBuxMagsi

As a seasoned professional with over 4 years of experience in Excel, Python, Data Analysis, and Visualization, I am confident in my ability to assist you with your paediatric study. My expertise in handling complex data sets and adeptness at performing advanced statistical analyses make me the perfect candidate for your project. Whether it is establishing appropriate descriptive statistics, dealing with missing data or presenting results for manuscript preparation, I have got you covered. Lastly, considering the importance of your project’s outcome on pediatric fasting guidelines, I am all the more committed to ensuring thoroughness and accuracy in every step of our collaboration. Partnering with me would herald efficiency, reliability and a keen eye for details in analyzing your parent survey responses alongside EMR-derived fasting data. Let's discuss how I can assist in transforming your valuable data into informative findings that can shape pediatric care strategies positively. Connect with me today and let's get started!

@ahmedsadek111124

Hello! I can help with your paediatric fasting data analysis by guiding you on the best descriptive statistics and graphical methods for your variables. I can support handling Likert-scale responses and assessing associations with logistic regression or multivariable analysis suited to your sample size. Additionally, I can assist with handling missing data, variable selection, and creating clear figures and tables for your manuscript. Could you share the approximate sample size and data structure to better tailor the analysis approach? Thanks,

@benjaminc671

Hello, As a highly skilled and experienced Full Stack Mobile Engineer, I have amassed extensive knowledge and mastery in Python, which is a vital tool in statistical analysis and data visualization. My expertise in handling big data sets and my understanding of sophisticated statistical models such as logistic regression and multivariable analysis make me ideally suited for your project. Moreover, my capabilities extend beyond just the technicalities. My intuition as a problem-solver allows me to approach challenges with a strategic mindset, finding effective solutions while optimizing both time and resources. Additionally, I'm highly proficient in graphical representation of categorical variables using tools like Matplotlib and seaborn, ensuring that the visualizations are informative and insightful. Lastly, one of the qualities that set me apart is the quality of my work. For any project I commit to, I ensure clean code, scalable architecture, fast communication, and reliable delivery. By leveraging both my technical skills and genuine passion for data analysis, I'm confident that I can exceed your expectations deliver insightful results for manuscript preparation. It would be a privilege to collaborate with you on this important project. Thanks!

@waleeds05

Hi! I saw you’re diving into the pediatric fasting study, and it sounds like you need solid help with the data analysis and visualization. I can help you figure out the best descriptive stats, tackle the Likert-scale responses, and look at those communication factors impacting fasting adherence. I’ve worked on similar studies before, so I can provide insights on regression analysis and how to handle missing data effectively. Also, when it comes to presenting your results for publication, I’ve got a few layout tips that might make your figures and tables shine. I could whip up some initial findings in about 5 days. Would that timeline work for you? Would love to chat more about it! Best regards, Walled Saleem

@jaxont0

Hello, As an experienced AI/ML Developer with a specialization in Python and automation, I can provide you with comprehensive support that aligns perfectly with your project requirements. Combining your need for statistical analysis, data visualization, and complex predictions, my expertise will prove invaluable. Leaning on my strength to connect AI with real business logic, I'll ensure our analysis has practical applications while employing clean backend systems for secure and easy scaling. Handling massive datasets is second nature to me through the use of PostgreSQL, MongoDB, AWS, Docker, and vector databases. This comes especially into play when dealing with issues like missing data and variable selection, two areas within your project I won't leave unattended. Furthermore, my skills in NLP and prompt engineering will aptly tackle the task of analyzing and presenting Likert-scale survey responses in a meaningful way. Given the nature of your research, precise statistical analyses are vital. My track record in deciphering appropriate descriptive statistics (mean vs median), assessing associations using logistic regression/multivariable techniques considering sample size limitations & categorizing variables in intuitive graphical representation distinguishes me from others. Let's collaborate to transform your complex data into lucid insights & engaging visualizations that are ready for your manuscript preparation! Thanks!

@melikatfz

Hi there, Navigating the complexities of paediatric perioperative fasting data can be daunting, especially when ensuring adherence to STS guidelines. The risk of prolonged fasting not only impacts clinical outcomes but also parent satisfaction and communication efficiency. Leveraging my expertise, I can provide the precise statistical analyses and visualizations essential for your manuscript and insightful correlations to optimize your data interpretation. Here are my questions: Do you have a specific preference for using Python, R, or SPSS for the analysis? Also, could you share more about the sample size to determine the suitability of logistic regression? Let’s discuss your project now!