Predictive Statistical Analysis

@AITSoft

Hello, I understand you need predictive statistical analysis for your DNP project outcomes, comparing results before and after an intervention. I can help by analyzing your numerical data using regression and time series methods to find meaningful patterns and predictions. My approach is to carefully examine the data trends and differences to support your project goals clearly and accurately. I also have experience working with DNP students which helps me better understand your needs. I am ready to show examples of my past work and discuss how my skills in Python, statistics, and machine learning can be put to use for you. What is the size and format of the dataset you will provide for the pre and post surveys? Are there specific variables or outcomes you want the analysis to focus on? Do you have a preferred software or tool, or should I use Python for all analysis? What timeline do you expect for the completion of this analysis? Do you need a detailed report with visualizations or just summary statistics? Looking forward to your reply. Best regards,

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@Herculesz

Hi I specialize in statistical analysis for healthcare and academic research, including DNP outcome studies using pre/post survey data. The main challenge in these projects is selecting the correct statistical method to measure meaningful change while ensuring assumptions (normality, sample size, variance) are properly handled. I’d solve this by first validating your dataset, then applying appropriate methods such as paired t-tests, Wilcoxon signed-rank tests, or regression modeling depending on your data structure. I also support predictive statistics using regression or machine learning models where applicable, ensuring results are both statistically sound and clinically meaningful. I’ve worked with numerical datasets, survey instruments (Likert scales), and outcome evaluations, and I can provide clear interpretation aligned with DNP project requirements. My approach includes clean data preparation, statistical testing, result validation, and writing support so your findings are publication-ready. Thanks, Hercules

@ShaikhAneesa

Hi there, I’ve reviewed your requirements and understand that you need an expert to perform a robust statistical analysis for your DNP project outcomes. I am confident I can help you evaluate your pre- and post-implementation surveys to demonstrate the impact of your intervention with high academic and methodological rigor. My process begins with a thorough audit of your survey data to ensure clean variable coding and to verify that all statistical assumptions are met. Next, I will implement the appropriate analytical framework utilizing paired t-tests or Wilcoxon signed-rank tests for pre/post comparisons, and regression analysis if you need to control for specific variables or predict future outcomes. Finally, I will synthesize these findings into a clear, professional report featuring data visualizations and interpretations that are ready for your final project submission. Beyond the raw calculations, I specialize in translating complex statistical outputs into actionable insights that highlight the clinical significance of your work. Could you please confirm the specific sample size and if your data follows a normal distribution? Let’s get started on analyzing your DNP project outcomes for you. Warm regards, Aneesa.

@HiraMahmood4072

Hello, With over 7 years of experience in Data Science, Statistics, and Data Analytics, I am well-equipped to handle your project. I have carefully reviewed the requirements and am confident in my ability to deliver high-quality predictive statistical analysis for your DNP project outcomes. I plan to approach the project by first conducting a thorough analysis of the pre and post implementation surveys. This will involve utilizing regression analysis, time series analysis, and machine learning algorithms to identify patterns and trends in the data. I will then apply predictive statistical techniques to make informed conclusions based on the findings. I have a proven track record of working with numerical data and have successfully completed similar projects in the past. My expertise in predictive statistics, coupled with my experience in working with DNP students, makes me an ideal candidate for this project. I would love to discuss the project further and answer any questions you may have. Please feel free to connect with me in the chat for a detailed discussion. You can visit my Profile at https://www.freelancer.com/u/HiraMahmood4072 Thank you.

@belarjsoufiane20

Hello, I’m a data scientist skilled in Python and statistical analysis, with experience turning raw data into actionable insights using tools like Pandas, NumPy, Scikit-learn, R, SPSS, and Excel. I can assist with data cleaning, analysis, modeling, visualization, and reporting, delivering clear, accurate results tailored to your goals. I’d be happy to discuss your project and get started right away. Best regards.

@nrajuu07

As a highly experienced and skilled machine learning engineer, I believe I would be the ideal choice for your predictive statistical analysis project. My specialized background in medical image analysis, deep learning, LLM development, generative AI and time series forecasting makes your DNP project outcomes right in my wheelhouse. I have a proven track record of helping researchers, startups, and enterprises like yours transform complex data into reliable machine learning systems for detection, classification, prediction and intelligent automation. These include projects involving regression analysis, time series analysis, and machine learning algorithms - all essential components for your job. Moreover, my proficient understanding of numerical data and expertise with tools such as RAG pipelines, LLM & Generative AI would allow me to deliver not just an analysis report but a working documented system derived from real world data. Let's talk more about how we can get the best out of your pre and post implementation surveys using my skills and experience.

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in Python, Statistics, Machine Learning (ML), Data Science, Data Analytics, Data Analysis, Machine Learning Algorithms, Regression Analysis, Time Series Analysis and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@KolmanOuassou

Hi, I am a data analyst/statistician and Economist with more than 6 years of experience. I can do your project, Please take time to check my profile and then you decide to contact me.

@sajedali784

Dear Researcher I am experienced academic writer and expert in Power BI, EXCEL, SMARTPLS, NVIVO, SPSS and AMOS for data analysis (Regression, ANOVA, Correlation, t-test, Chi Square test, Block Plot, SEM, Mediation Analysis, CFA and EFA etc.). I always provide results along with descriptive statistics. Looking forward for more discussion please. You can see my related reviews: https://www.freelancer.com/projects/spss-statistics/Help-with-PhD-data-analysis/reviews https://www.freelancer.com/projects/spss-statistics/Data-analysis-SPSS-Discussion-conclusion/reviews https://www.freelancer.com/projects/statistical-analysis/Data-Analysis-for-Research-Article/reviews https://www.freelancer.com/projects/spss-statistics/Statistics-SPSS-29759215/reviews https://www.freelancer.com/projects/statistical-analysis/SPSS-Analysis-25195398/reviews https://www.freelancer.com/projects/spss-statistics/SPSS-assignment-24766032/reviews https://www.freelancer.com/projects/r-programming-language/Statistical-Project/reviews https://www.freelancer.com/projects/electrical-engineering/Engineering-statistics/reviews Regards! Dr Sajed Ali, PhD Note: Bid is just to connect. The actual time and budget may be negotiated as per project details.

@muratalper99

I have a PhD in statistics specializing in machine learning and time series modeling. I can analyze pre and post implementation survey data.

@FaizalShaik80

Hi, hope you are well. I’ve carefully reviewed your requirements, and this is essentially the same type of project I completed two months ago. I am a skilled freelancer with 6+ years of experience in Python, Machine Learning (ML) and I can deliver the results as quickly as possible. Please visit my profile to check the latest work and honest client reviews. Let us make this great together, please connect in chat. Warm regards.

@kareemmaize

Hi, The real goal here is not just running statistical tests, but producing results that are valid, interpretable, and defensible in your DNP project. The most common issue I see in pre/post survey analysis is applying the wrong statistical approach—especially when sample size, pairing, or data distribution are not handled correctly, which can make results look significant but not actually hold up. I’d approach this by first validating the data structure (paired vs independent, scale types, missing values), then selecting the right statistical methods—often starting with simpler, robust comparisons before layering regression if it adds real value. The output should clearly connect statistical findings to your clinical outcomes, not just numbers. I’d start by reviewing your dataset and survey structure to confirm the correct analysis path.

@KirtikaKataria

Hi there, I understand you need statistical analysis for your DNP project, specifically comparing pre- and post-implementation survey outcomes with appropriate inferential methods and clear interpretation. With strong experience in healthcare data analysis and working with DNP-level projects, I can ensure your results are accurate, clinically meaningful, and ready for academic submission. My approach will begin with reviewing your dataset and survey structure to determine the correct statistical tests (e.g., paired t-test, Wilcoxon, or regression depending on data type). Next, I will run the analysis using Python/SPSS, ensuring assumptions are met and results are statistically valid. Finally, I will interpret findings in clear, non-technical language and provide APA-style reporting suitable for your project. Deliverable: Cleaned dataset, statistical outputs, and a clear summary/report of pre vs post results with interpretation. QUESTION: Could you confirm whether your pre/post data is paired (same participants) and whether your variables are Likert-scale or continuous? I have supported similar DNP projects, delivering accurate statistical analysis and clear, actionable insights. Let’s get started and turn your data into meaningful, evidence-based results! Regards, Shehwani.

@ianb65

Hello, there! I can support your DNP project with rigorous statistical analysis tailored specifically for pre- and post-implementation survey comparisons. I have strong experience working with Python-based statistical workflows, including pandas, NumPy, SciPy, and modeling approaches such as regression and hypothesis testing, which are directly applicable to outcome evaluation studies. For your project, I would structure the analysis to ensure academic validity, including proper data cleaning, selection of appropriate statistical tests (paired t-tests, regression models, or non-parametric alternatives depending on your data), and clear interpretation aligned with DNP standards. I will also provide fully reproducible code and a concise, well-written summary of findings that you can directly incorporate into your thesis or report. While my background is more technical than clinical, I am familiar with evidence-based evaluation frameworks and can align the analysis with healthcare research expectations, ensuring your results are both statistically sound and academically defensible. Best regards, Ian Brown

@danielboggs

Hi, I’ve read your project and can help you perform predictive statistical analysis for your DNP project comparing pre- and post-implementation survey outcomes. I have hands-on experience building clean regression and time-series models and applying machine learning methods to clinical and educational datasets, and I’m comfortable working directly with DNP students to translate results into actionable conclusions. My approach starts with a careful data audit and cleaning, then exploratory analysis to understand distributions and potential confounders. I’ll choose and justify models, logistic or linear regression for outcome comparisons, interrupted time series or mixed-effects models if repeated measures exist, and ensemble methods if nonlinear patterns warrant ML. I’ll validate models with cross-validation, check assumptions, and provide clear visualizations and interpretation focused on clinical relevance. Next step: share a sample of your de-identified dataset (or variable list and sample size) and the primary outcomes you want modeled; I’ll outline a detailed analysis plan and timeline. What are the primary outcome variables and number of pre/post observations per participant or time point? Best regards, Daniel

@aidigitalhub

As a coding, data research and technology expert, my proficiency in Data Science and Machine Learning, particularly in Python, aligns perfectly with the needs of your project. I have vast experience in conducting statistical analysis and handling numerical data to draw meaningful insights. DNP projects often focus on predicting patient outcomes or identifying trends over time, I can assist with the following: Regression Analysis: Running linear, logistic, or Cox regression to see how specific variables (like a new protocol or patient demographics) impact your primary outcome. Time Series Analysis: Using Run Charts or Control Charts (SPC) to track clinical improvements over weeks or months and determine if a change is a true signal or just "noise." Numerical Proficiency: Cleaning datasets, handling missing values, and ensuring your descriptive statistics Predictive Modeling: Applying basic machine learning or risk-stratification logic to help forecast which patients are most likely to benefit from your intervention. To give you the most relevant help, what specific clinical problem or outcome measure (e.g., readmission rates, A1C levels, survey scores) are you looking to analyze? Hope we can discuss over call or chat. Thanks Nav

@huonghy89

Hi, How are you? Very happy to bid for your project because my skills are fitted in your project. I have 8 years of experience in R program, SPSS, statistical analysis and machine learning. I am very familiar with descriptive statistics, inferential statistics, predict model, data analysis, Bayesian model, averaging meta analysis, Multivariate analysis, non-parametric regression analysis, index creation, Financial markets, APIs, time series forecasting, feature engineering, Machine Learning. If you send the message , we can discuss the project more. Thanks.

@Hubready

Hello! I am a Florida-based senior software engineer with extensive experience in Python, statistics, and machine learning. I carefully read your project description regarding predictive statistical analysis for your DNP project outcomes and I believe I can help you achieve your goals effectively. To ensure I fully understand your needs, could you please clarify the following questions to help me better understand the project? 1. What specific statistical methods or analyses are you looking to apply to your data? 2. Do you have a preferred data set format, or should I prepare the data for analysis as well? With over 15 years of experience in data analysis and machine learning, I have worked on similar projects where I developed predictive models and performed comprehensive statistical analyses. My approach will include understanding your data thoroughly, applying regression or time series analysis as needed, and presenting the results in a clear, actionable format. I’m committed to delivering high-quality results, ensuring the project aligns with your objectives. Let’s chat about how we can make this project a success! Best, -James